This is the replication package for the Sustainability in Software Architecture: A Systematic Mapping Study paper, accepted for publication at the SEEA/Euromicro 2022 conference.

Mapping Software Market Outlook

The global mapping software market size was valued at approximately USD 5.7 billion in 2023 and is projected to reach USD 11.4 billion by 2032, growing at a compound annual growth rate (CAGR) of 8.1% during the forecast period. The growth of this market is driven by the increasing need for spatial data in various industries, advancements in geographic information system (GIS) technology, and the growing trend of digitalization across different sectors.

One of the primary growth factors in the mapping software market is the rising demand for location-based services (LBS). These services are essential for numerous applications, from navigation and route planning to marketing and asset tracking. The proliferation of smartphones and wearable devices equipped with GPS has significantly boosted the use of LBS, thereby driving the demand for advanced mapping software. Furthermore, businesses are increasingly leveraging spatial data to enhance decision-making processes, optimize operations, and improve customer experiences, all of which contribute to the market's expansion.

Another significant driver is the increasing usage of mapping software in urban planning and smart city initiatives. With the global urban population expected to rise continuously, cities are turning to technology to manage resources efficiently, ensure sustainable development, and improve the quality of life for residents. Mapping software plays a crucial role in urban planning by providing detailed spatial data, enabling planners to visualize and analyze various urban scenarios, plan infrastructure development, and manage urban growth effectively. Additionally, governments are investing heavily in smart city projects, creating a substantial demand for sophisticated mapping tools.

Technological advancements in GIS and remote sensing technologies are also fueling the growth of the mapping software market. Innovations such as 3D mapping, real-time data integration, and cloud-based GIS solutions have expanded the capabilities and applications of mapping software. These advancements allow for more accurate and comprehensive spatial analysis, facilitating better decision-making and problem-solving in numerous fields, including environmental monitoring, disaster management, and transportation planning. Moreover, the integration of artificial intelligence (AI) and machine learning (ML) with mapping software is further enhancing its functionality, enabling predictive analytics and automated data processing.

Regionally, North America holds a significant share of the mapping software market, driven by the widespread adoption of advanced technologies and the presence of major market players. The Asia Pacific region is expected to witness the highest growth rate during the forecast period, attributed to rapid urbanization, increasing investments in infrastructure development, and the growing adoption of digital solutions across various sectors. Europe also presents substantial growth opportunities due to the increasing focus on smart city projects and environmental sustainability initiatives.

Component Analysis

The mapping software market is segmented by component into software and services. The software segment is further categorized into desktop, web-based, and mobile software, each catering to different user needs and preferences. Desktop software continues to be widely used due to its robust functionalities and ability to handle complex spatial data analysis. Web-based software, on the other hand, offers flexibility and ease of access, making it popular among users who require real-time data and collaboration capabilities. Mobile mapping software is gaining traction, especially among field workers and on-the-go professionals, due to its portability and convenience.

Services in the mapping software market encompass a range of offerings, including consulting, implementation, training, and support services. Consulting services are essential for organizations looking to integrate mapping software into their existing systems and workflows. Implementation services ensure the smooth deployment and customization of software solutions to meet specific business requirements. Training services are crucial for enhancing user proficiency and maximizing the software's potential, while support services provide necessary technical assistance and software maintenance. The growing complexity of spatial data applications and the need for expert guidance are driving the demand for these services.

The software segment dominates the mapping softwar

Supporting sustainability through modelling and analysis has become an active area of research in Software Engineering. Therefore, it is important and timely to survey the current state of the art in sustainability in Cyber-Physical Systems (CPS), which is one of the most actively developing classes of complex software systems. This dataset presents the results of a Systematic Mapping Study (SMS) aiming at identifying the relevant primary studies reporting on CPS modelling approaches addressing sustainability over the last 10 years. Our literature search yielded 2209 papers, of which 104 primary studies were deemed relevant for a detailed characterisation from the perspective of nine research questions, to extract information about sustainability attributes, methods, models/meta-models, metrics, processes and tools used to improve the sustainability of CPS. These questions also aimed at collecting data about domain-specific modelling approaches and application domains. The results of this characterization can be found in this dataset. This dataset also includes all the papers that were retrieved from the searches from the different libraries and were not included in the SLR.

3D Mapping Management Software Market Outlook

The global market size of 3D Mapping Management Software was valued at USD 4.2 billion in 2023 and is forecasted to reach USD 12.6 billion by 2032, growing at an impressive CAGR of 13.2% during the forecast period. This remarkable growth can be attributed to increased urbanization, technological advancements, and the rising adoption of 3D visualization in various industries.

The proliferation of smart city projects worldwide is a significant growth driver for the 3D Mapping Management Software market. Governments and urban planners are increasingly leveraging this technology to create accurate and detailed 3D maps for better planning and management of urban spaces. These maps assist in visualizing infrastructure, zoning, and landscape features, thus enabling more efficient and sustainable city planning. The technology's capability to integrate various data sources, such as satellite imagery, LiDAR data, and GIS, enhances its utility and application range, further fueling market growth.

Another major growth factor is the increasing need for disaster management and mitigation solutions. With climate change leading to more frequent and severe natural disasters, the demand for advanced tools to predict, simulate, and manage such events is on the rise. 3D Mapping Management Software offers robust solutions for simulating disaster scenarios, mapping vulnerable areas, and planning emergency responses. The ability to visualize and analyze complex geographical data in three dimensions provides a significant advantage in planning and executing disaster management strategies, thereby driving market demand.

Infrastructure development projects, particularly in emerging economies, are also propelling the 3D Mapping Management Software market. The construction sector is increasingly adopting 3D mapping for project planning, design, and management. These tools enable the creation of accurate and detailed 3D models of construction sites, which help in visualizing the project from different angles, identifying potential issues, and improving overall efficiency. Additionally, asset management within the infrastructure sector benefits greatly from 3D mapping, as it allows for precise tracking and maintenance planning of various assets.

The development and utilization of High-Precision 3D Map technology are becoming increasingly crucial in the realm of urban planning and infrastructure management. These maps provide an unparalleled level of detail and accuracy, which is essential for the meticulous planning and execution of large-scale projects. By offering a comprehensive view of the terrain and existing structures, high-precision 3D maps enable planners and engineers to make informed decisions that enhance the efficiency and sustainability of urban development. This technology is particularly beneficial in the context of smart city initiatives, where the integration of precise mapping data can significantly improve the management of resources and services.

In terms of regional outlook, North America holds a significant share in the 3D Mapping Management Software market. The presence of numerous leading technology companies and widespread adoption of advanced mapping solutions in various sectors drive the market in this region. Additionally, Europe and Asia Pacific are expected to witness substantial growth due to increasing investments in smart city projects, infrastructure development, and disaster management initiatives. The rapid urbanization in Asia Pacific, coupled with government initiatives promoting advanced mapping technologies, makes it a lucrative market for 3D mapping solutions.

Component Analysis

The 3D Mapping Management Software market can be segmented by component into Software and Services. The software segment dominates the market, driven by the increasing adoption of advanced 3D mapping software solutions across various industries. These software solutions offer a range of functionalities, including data integration, visualization, simulation, and analysis. Continuous advancements in software capabilities, such as real-time data processing and AI integration, further enhance their appeal, leading to higher adoption rates.

The services segment, although smaller than the software segment, is witnessing steady growth. This segment includes consulting, implementation, training, and support services. As organizations increasingly adopt 3D mapping softw

Abstract

MEJ aims to create easy-to-use, publicly-available maps that paint a holistic picture of intersecting environmental, social, and health impacts experienced by communities across the US.

With guidance from the residents of impacted communities, MEJ combines environmental, public health, and demographic data into an indicator of vulnerability for communities in every state. MEJ’s goal is to fill an existing data gap for individual states without environmental justice mapping tools, and to provide a valuable tool for advocates, scholars, students, lawyers, and policy makers.

Methodology

The negative effects of pollution depend on a combination of vulnerability and exposure. People living in poverty, for example, are more likely to develop asthma or die due to air pollution. The method MEJ uses, following the method developed for CalEnviroScreen, reflects this in the two overall components of a census tract’s final “Cumulative EJ Impact”: population characteristics and pollution burden. The CalEnviroScreen methodology was developed through an intensive, multi-year effort to develop a science-backed, peer-reviewed tool to assess environmental justice in a holistic way, and has since been replicated by several other states.

CalEnviroScreen Methodology:

• Population characteristics are a combination of socioeconomic data (often referred to as the social determinants of health) and health data that together reflect a populations' vulnerability to pollutants. Pollution burden is a combination of direct exposure to a pollutant and environmental effects, which are adverse environmental conditions caused by pollutants, such as toxic waste sites or wastewater releases. Together, population characteristics and pollution burden help describe the disproportionate impact that environmental pollution has on different communities.

• Every indicator is ranked as a percentile from 0 to 100 and averaged with the others of the same component to form an overall score for that component. Each component score is then percentile ranked to create a component percentile. The Sensitive Populations component score, for example, is the average of a census tract’s Asthma, Low Birthweight Infants, and Heart Disease indicator percentiles, and the Sensitive Populations component percentile is the percentile rank of the Sensitive Populations score.

• The Population Characteristics score is the average of the Sensitive Populations component score and the Socioeconomic Factors component score. The Population Characteristics percentile is the percentile rank of the Population Characteristics score.

• The Pollution Burden score is the average of the Pollution Exposure component score and one half of the Environmental Effects component score (Environmental Effects may have a smaller effect on health outcomes than the indicators included the Exposures component so are weighted half as much as Exposures). The Pollution Burden percentile is the percentile rank of the Pollution Burden score.

• The Populaton Characteristics and Pollution Burden scores are then multiplied to find the final Cumulative EJ Impact score for a census tract, and then this final score is percentile-ranked to find a census tract's final Cumulative EJ Impact percentile.

• Census tracts with no population aren't given a Population Characteristics score.

• Census tracts with an indicator score of zero are assigned a percentile rank of zero. Percentile rank is then only calculated for those census tracts with a score above zero.

• Census tracts that are missing data for more than two indicators don't receive a final Cumulative EJ Impact ranking.

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3D Mapping Software Market Outlook

The global 3D mapping software market size was valued at approximately $3.5 billion in 2023, and it is projected to grow to around $14.2 billion by 2032, exhibiting a robust CAGR of 16.7% during the forecast period. The rapid advancement in technology, along with the increasing demand for visualization and simulation in various industries, is driving this significant market growth.

One of the primary growth factors for the 3D mapping software market is the accelerating adoption of autonomous vehicles and advanced driver-assistance systems (ADAS) in the automotive industry. These technologies rely heavily on accurate and real-time 3D mapping to navigate and make decisions. Consequently, automotive manufacturers and technology companies are investing substantially in developing and integrating 3D mapping solutions, fueling market expansion. Moreover, the continuous evolution of smart city projects globally is a prominent driver for this market. Urban planners and government bodies are leveraging 3D mapping software to design, simulate, and manage city infrastructures, enhancing efficiency, sustainability, and the overall quality of urban life.

Another significant growth factor is the rising demand for geospatial data across various sectors, including construction, engineering, and retail. The construction and engineering sector, in particular, benefits immensely from 3D mapping software for tasks such as site surveying, project visualization, and building information modeling (BIM). Retailers are also utilizing 3D maps to enhance customer experiences, optimize store layouts, and improve logistics and supply chain management. As these industries increasingly recognize the value of 3D mapping, the demand for advanced software solutions is expected to surge.

The healthcare industry is another notable contributor to the growth of the 3D mapping software market. The application of 3D mapping in medical imaging, surgical planning, and virtual reality-based therapy is transforming patient care and treatment outcomes. With continuous advancements in medical technology and an emphasis on precision medicine, healthcare providers are adopting 3D mapping tools to improve diagnostic accuracy and surgical precision. This growing adoption is further bolstering market growth.

The advent of 3D Mobile Mapping is revolutionizing the way data is collected and utilized across various industries. This technology allows for the rapid and accurate collection of spatial data, which can be used to create detailed 3D models of environments. In the context of urban planning and smart city development, 3D Mobile Mapping provides city planners with the tools to visualize and analyze urban landscapes in real-time, facilitating more informed decision-making processes. Moreover, the ability to capture data on-the-go makes it an invaluable asset for industries such as construction and transportation, where dynamic environments require constant updates and adjustments. As the technology continues to evolve, its integration with other advanced systems like AI and IoT is expected to further enhance its capabilities, offering even more precise and comprehensive mapping solutions.

Regional outlook reveals that North America holds the largest share of the 3D mapping software market, driven by the presence of leading technology companies and high adoption rates across various industries. However, the Asia Pacific region is anticipated to witness the fastest growth over the forecast period. The rapid urbanization, expanding automotive and construction sectors, and increasing investments in smart city projects across countries like China, India, and Japan are key factors contributing to this rapid growth. Europe, Latin America, and the Middle East & Africa also present substantial growth opportunities due to technological advancements and increasing applications of 3D mapping in various sectors.

Component Analysis

The 3D mapping software market, segmented by component, includes software and services. The software segment is the largest and most significant contributor to the market. This segment comprises various types of 3D mapping software, including desktop applications, mobile apps, and web-based platforms. These software solutions are essential for creating, analyzing, and visualizing 3D maps, making them indispensable tools for industries like automotive, construction, and healthcare. The continuous innovation in software capabilities, such a

The global arborist software market was valued at USD 350.79 Million in 2022 and is projected to reach USD 881.04 Million by 2030, registering a CAGR of 12.2% for the forecast period 2023-2030. Factors Affecting Arborist Software Market Growth

Growing awareness of tree care coupled with benefits of arborist software

With increased awareness of environmental conservation and the importance of urban green spaces, there's a rising demand for professional tree care services. Growing environmental education coupled with technology adoption in tree management helps to drive the arborist software demand. Arborist software helps urban planners, municipalities, and property owners effectively manage and care for trees in cities and suburbs. Arborist software streamlines various tasks like tree inventory management, maintenance scheduling, and communication with clients. This leads to improved efficiency and productivity for arborists.

The Restraining Factor of Arborist Software:

Data Security, privacy concerns;

Data security and privacy concerns are indeed significant factors that can impact the adoption of arborist software. Arborist software often stores information about clients' properties, contact details, and potentially even financial information. Many arborist software solutions use location data to map and manage trees. This location data could be misused if it falls into the wrong hands.

Market Opportunity:

Rising need to improve tree inventory practices;

The rising need to improve tree inventory practices is driven by several factors, including urbanization, environmental awareness, and advancements in technology. As cities grow and expand, urban planners need accurate tree inventory data to ensure that trees are integrated into urban design. Tree inventory helps prevent conflicts between infrastructure development and tree preservation. Arborists software helps to create and maintain digital inventories of trees, including information about species, location, size, health, and maintenance history. In addition, features like Geographic Information Systems (GIS), remote sensing, and mobile data collection technologies have made it easier to create, update, and manage tree inventories.

The COVID-19 impact on Arborist Software Market

The COVID-19 pandemic had various impacts on industries and markets, including the arborist software market. During lockdowns and restrictions, some tree care activities might have been deprioritized due to the sudden focus on healthcare sector. However, the pandemic accelerated digital transformation across industries. Arborists who were previously reliant on manual processes might have recognized the benefits of adopting software for tasks like inventory management, reporting, and client communication. Introduction of Arborist Software

An arborist is a professional who specializes in the cultivation, management, and study of trees, shrubs, and other woody plants. Arborists are trained in tree care practices, including planting, pruning, disease and pest management, and overall tree health maintenance. Arborist software are tools used to assist arborists in their work. These software solutions can provide various functionalities to help arborists manage and maintain trees effectively. Arborists can use software to create and maintain digital inventories of trees, including information about species, location, size, health, and maintenance history. Some common features of arborist software include tree inventory management, health assessment, risk assessment, mapping and GIS integration etc.

The datasets represent topographic description (cost and accessibility maps) of Khabarovsk and Primorsky Krais of the Russian Far East divided into unit areas with a 10x10 km grid in WGS84. The datasets are in MID/MIF formats to be processed in QGIS with use of self-written open source software. The datasets are used to model single or multiple socio-economic scenarios of regional spatial development and inter-regional economic cooperation.

Habitat Sites are natural areas that support wildlilfe on both public and privately owned land. Approximately 3,800 of the 146,240 acres within the city limits serve as habitat sites. Among the 97 individual habitat sites identified in 2004 using mapping tools, aerial imagery, site-visits, and previous inventory studies, most are located along the Chicago River and on the shorelines of Lake Michigan and Lake Calumet natural areas that support wildlife.

To view or use this file, special GIS software such as Google Earth is required. To download, right-click the "Download" link above and choose "Save link as."

The Integrated Mapping FOr the Sustainable Development of Ireland's MArine Resource (INFOMAR) programme is a joint venture between the Geological Survey Ireland (GSI) and the Marine Institute (MI). The Magnetometer dataset is an auxillary dataset that measures the magnetic field or field anomalies at a particular location. Data is collected on an ongoing basis as part of the yearly INFOMAR Surveys. The data is acquired as part of INFOMAR surveys and is collected onboard research Vessels. Two files are recorded for each line of survey; Pinger Raw data - .cod and a Pinger Image TIF. Post surveys the data is QC’d by playing the data back using Coda GeoSurvey software. Coda format files are converted to industry standard SEGY. The spectroradiometer dataset is used to look for variation in the spectral response between and within species (and across seasons) to aid in the automated identification of different seaweed species using remote sensing technology.

The digital soil mapping platforms market is experiencing robust growth, driven by the increasing need for precise and efficient soil analysis in agriculture and related sectors. The market's expansion is fueled by several key factors, including the rising adoption of precision agriculture techniques, the growing demand for improved crop yields, and the increasing availability of advanced technologies such as satellite imagery, mobile scouting applications, and sophisticated data analytics. Government initiatives promoting sustainable agriculture and research in soil science further contribute to market expansion. The market is segmented by application (agriculture cooperatives, government and research institutes, agribusiness companies, and others) and type of technology (mobile scouting, satellite imagery, and others). While the precise market size in 2025 is unavailable, considering a plausible CAGR of 15% (a conservative estimate based on the adoption rate of similar precision agriculture technologies) and assuming a 2024 market size of $800 million, the 2025 market size could be estimated around $920 million. North America and Europe currently hold significant market share, but the Asia-Pacific region shows significant potential for growth due to increasing agricultural activities and technological advancements. Despite its growth trajectory, the market faces certain restraints. High initial investment costs associated with implementing digital soil mapping platforms can be a barrier for entry for smaller farms and businesses. Data security concerns and the need for skilled professionals to interpret and utilize the complex data generated also pose challenges. However, ongoing technological advancements, reducing costs of sensors and cloud computing, and the development of user-friendly software solutions are expected to mitigate these restraints in the coming years. Companies such as SoilOptix, Veris Technologies, and Trimble are major players driving innovation and market penetration. Future growth will likely be shaped by the increasing integration of AI and machine learning in soil mapping and analysis. The forecast period of 2025-2033 suggests substantial expansion, likely exceeding $2 billion by 2033, driven by continued technological improvements and widespread adoption across different agricultural sectors.

The ArcGIS Pro Permitting and Environmental Information Tool (APPEIT) Project Package includes all of the layers that are in the NTIA Permitting and Environmental Information Application as well as the APPEIT Tool which will allow users to input a project area and determine what layers from the application overlap with it. An overview of the project package and the APPEIT tool is provided below.

User instructions on how to use the tool are available here. A video explaining how to use the Project Package is also available here.

Project Package Overview

This map package includes all of the layers from the NTIA Permitting and Environmental Information Application. The layers included are all feature services from various Federal and State agencies. The map package was created with ArcGIS Pro 3.4.0. The map package was created to allow users easy access to all feature services including symbology. The map package will allow users to avoid downloading datasets individually and easily incorporate into their own GIS system. The map package includes three maps.

1. Permitting and Environmental Information Application Layers for GIS Analysis - This map includes all of the map tabs shown in the application, except State Data which is provided in another tab. This map includes feature services that can be used for analysis with other project layers such as a route or project area.

2. Permitting and Environmental Information Application Layers – For Reference Only - This map includes layers that cannot be used for analysis since they are either imagery or tile layers.

3. State Data - Reference Only - This map includes all relevant state data that is shown in the application.

The NTIA Permitting and Environmental Information Application was created to help with your permitting planning and environmental review preparation efforts by providing access to multiple maps from publicly available sources, including federal review, permitting, and resource agencies. The application should be used for informational purposes only and is intended solely to assist users with preliminary identification of areas that may require permits or planning to avoid potentially significant impacts to environmental resources subject to the National Environmental Policy Act (NEPA) and other statutory requirements. Multiple maps are provided in the application which are created from public sources. This application does not have an exhaustive list of everything you need for permitting or environmental review for a project but is an initial starting point to see what might be required.

APPEIT Tool OverviewThe Department of Commerce’s National Telecommunications and Information Administration (NTIA) is providing the ArcGIS Pro Permitting and Environmental Information Tool (APPEIT) to help federal broadband grant recipients and subgrantees identify permits and environmental factors as they plan routes for their broadband deployments. Identifying permit requirements early, initiating pre-application coordination with permitting agencies, and avoiding environmental impacts help drive successful infrastructure projects. NTIA’s public release of the APPEIT tool supports government-wide efforts to improve permitting and explore how online and digital technologies can promote efficient environmental reviews.

This Esri ArcGIS Pro tool is included in the map package and was created to support permitting, planning, and environmental review preparation efforts by providing access to data layers from publicly available sources, including federal review, permitting, and resource agencies. An SOP on how to use the tool is available here. For the full list of APPEIT layers, see Appendix Table 1 in the SOP. The tool is comprised of an ArcGIS Pro Project containing a custom ArcGIS Toolbox tool, linked web map shared by the NTIA’s National Broadband Map (NBAM), a report template, and a Tasks item to guide users through using the tool. This ArcGIS Pro project and its contents (maps and data) are consolidated into this (.ppkx) project file.

To use APPEIT, users will input a project area boundary or project route line in a shapefile or feature class format. The tool will return as a CSV and PDF report that lists any federal layers from the ArcGIS Pro Permitting and Environmental Information Web Map that intersect the project. Users may only input a single project area or line at a time; multiple projects or project segments will need to be screened separately. For project route lines, users are required to specify a buffer distance. The buffer distance that is used for broadband projects should be determined by the area of anticipated impact and should generally not exceed 500 feet. For example, the State of Maryland recommends a 100-foot buffer for broadband permitting. The tool restricts buffers to two miles to ensure relevant results.

Disclaimer

This document is intended solely to assist federal broadband grant recipients and subgrantees in better understanding Infrastructure Investment and Jobs Act (IIJA) broadband grant programs and the requirements set forth in the Notice of Funding Opportunity (NOFO) for this program. This document does not and is not intended to supersede, modify, or otherwise alter applicable statutory or regulatory requirements, the terms and conditions of the award, or the specific application requirements set forth in the NOFO. In all cases, statutory and regulatory mandates, the terms and conditions of the award, the requirements set forth in the NOFO, and follow-on policies and guidance, shall prevail over any inconsistencies contained in this document.

NTIA’s ArcGIS Pro Permitting and Environmental Information Tool (APPEIT) should be used for informational purposes only and is intended solely to assist users with preliminary identification of broadband deployments that may require permits or planning to avoid potentially significant impacts to environmental resources subject to the National Environmental Policy Act (NEPA) and other statutory requirements.

The tool is not an exhaustive or complete resource and does not and is not intended to substitute for, supersede, modify, or otherwise alter any applicable statutory or regulatory requirements, or the specific application requirements set forth in any NTIA NOFO, Terms and Conditions, or Special Award Condition. In all cases, statutory and regulatory mandates, and the requirements set forth in NTIA grant documents, shall prevail over any inconsistencies contained in these templates.

The tool relies on publicly available data available on the websites of other federal, state, local, and Tribal agencies, and in some instances, private organizations and research institutions. Layers identified with a double asterisk include information relevant to determining if an “extraordinary circumstance” may warrant more detailed environmental review when a categorical exclusion may otherwise apply. While NTIA continues to make amendments to its websites to comply with Section 508, NTIA cannot ensure Section 508 compliance of federal and non-federal websites or resources users may access from links on NTIA websites.

All data is presented “as is,” “as available” for informational purposes. NTIA does not warrant the accuracy, adequacy, or completeness of this information and expressly disclaims liability for any errors or omissions.

Please e-mail NTIAanalytics@ntia.gov with any questions.

The Digital Environmental Geologic-GIS Map for San Antonio Missions National Historical Park and Vicinity, Texas is composed of GIS data layers and GIS tables, and is available in the following GRI-supported GIS data formats: 1.) a 10.1 file geodatabase (saan_environmental_geology.gdb), a 2.) Open Geospatial Consortium (OGC) geopackage, and 3.) 2.2 KMZ/KML file for use in Google Earth, however, this format version of the map is limited in data layers presented and in access to GRI ancillary table information. The file geodatabase format is supported with a 1.) ArcGIS Pro map file (.mapx) file (saan_environmental_geology.mapx) and individual Pro layer (.lyrx) files (for each GIS data layer), as well as with a 2.) 10.1 ArcMap (.mxd) map document (saan_environmental_geology.mxd) and individual 10.1 layer (.lyr) files (for each GIS data layer). The OGC geopackage is supported with a QGIS project (.qgz) file. Upon request, the GIS data is also available in ESRI 10.1 shapefile format. Contact Stephanie O'Meara (see contact information below) to acquire the GIS data in these GIS data formats. In addition to the GIS data and supporting GIS files, three additional files comprise a GRI digital geologic-GIS dataset or map: 1.) A GIS readme file (saan_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (saan_geology.pdf) which contains geologic unit descriptions, as well as other ancillary map information and graphics from the source map(s) used by the GRI in the production of the GRI digital geologic-GIS data for the park, and 3.) a user-friendly FAQ PDF version of the metadata (saan_environmental_geology_metadata_faq.pdf). Please read the saan_geology_gis_readme.pdf for information pertaining to the proper extraction of the GIS data and other map files. Google Earth software is available for free at: https://www.google.com/earth/versions/. QGIS software is available for free at: https://www.qgis.org/en/site/. Users are encouraged to only use the Google Earth data for basic visualization, and to use the GIS data for any type of data analysis or investigation. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) Division funded program that is administered by the NPS Geologic Resources Division (GRD). For a complete listing of GRI products visit the GRI publications webpage: For a complete listing of GRI products visit the GRI publications webpage: https://www.nps.gov/subjects/geology/geologic-resources-inventory-products.htm. For more information about the Geologic Resources Inventory Program visit the GRI webpage: https://www.nps.gov/subjects/geology/gri,htm. At the bottom of that webpage is a "Contact Us" link if you need additional information. You may also directly contact the program coordinator, Jason Kenworthy (jason_kenworthy@nps.gov). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: Texas Bureau of Economic Geology, University of Texas at Austin. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (saan_environmental_geology_metadata.txt or saan_environmental_geology_metadata_faq.pdf). Users of this data are cautioned about the locational accuracy of features within this dataset. Based on the source map scale of 1:24,000 and United States National Map Accuracy Standards features are within (horizontally) 12.2 meters or 40 feet of their actual location as presented by this dataset. Users of this data should thus not assume the location of features is exactly where they are portrayed in Google Earth, ArcGIS, QGIS or other software used to display this dataset. All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.3. (available at: https://www.nps.gov/articles/gri-geodatabase-model.htm). Purpose:

This paper presents an analysis of an environmental conflict that arose in a Thai industrial zone. The authors analyse state policies to resolve the conflict, and draw lessons for other industrializing nations adopting industrial zone models. The study revealed that a root cause of the conflict was violation of land-use planning regulations and expansion of the industrial zone into community areas. Through legal action, civil society successfully forced the state and industries to halt unplanned expansion. However, inadequate commitment by the state and industry stakeholders seems to perpetuate the conflict. A Geographic Information Systems (GIS)-based analysis confirmed that the state policy interventions did not produce significant results. This paper highlights the need for GIS-based environmental quality monitoring to guide industrialization-based urban development towards sustainability.

Agricultural Mapping Software Market Outlook

The global agricultural mapping software market size was valued at approximately USD 1.2 billion in 2023 and is projected to reach around USD 3.4 billion by 2032, growing at a Compound Annual Growth Rate (CAGR) of 12.5% during the forecast period. This promising growth is driven by increasing adoption of precision farming techniques and the need for efficient agricultural management practices. Advances in technology, coupled with rising demand for food production, are significant factors propelling the agricultural mapping software market.

One of the primary growth factors for the agricultural mapping software market is the increasing need for precision farming. Precision farming techniques rely on detailed data collection and analysis, which is facilitated by advanced agricultural mapping software. These tools help farmers make informed decisions about planting, watering, and harvesting, thereby maximizing crop yield and resource efficiency. The emphasis on data-driven farming is expected to drive significant adoption of mapping software across the globe.

Another crucial growth factor is the rising global population, which directly correlates with the increasing demand for food. As the world population continues to grow, the pressure on agricultural systems becomes more intense. Agricultural mapping software aids in optimizing land use, monitoring crop health, and predicting yields, thus playing a pivotal role in meeting the escalating food demands. The software's ability to enhance productivity and sustainability is highly appealing to stakeholders in the agricultural sector.

Technological advancements in GIS (Geographic Information Systems) and remote sensing are also propelling the market. The integration of satellite imagery, drones, and IoT (Internet of Things) devices with agricultural mapping software enables real-time data acquisition and analysis. These technologies provide farmers with detailed insights into their fields, enabling them to detect issues early and take corrective action promptly. The continuous innovation in these technologies is expected to further boost market growth.

From a regional perspective, North America is anticipated to hold the largest market share due to the high adoption rate of advanced farming technologies and substantial investments in agricultural research. Europe follows closely, driven by stringent agricultural policies and a strong focus on sustainable farming practices. The Asia Pacific region is expected to witness the fastest growth, attributed to increasing government initiatives to modernize agriculture and substantial investments in agritech startups. Latin America and the Middle East & Africa also present significant growth opportunities due to expanding agricultural activities and adoption of modern farming techniques.

Crop Monitoring Software plays a pivotal role in the agricultural mapping software market by providing farmers with the tools necessary to maintain and enhance crop health. This software allows for continuous observation and analysis of crops, ensuring that any potential issues such as diseases, pest infestations, or nutrient deficiencies are identified early. By leveraging real-time data, farmers can make informed decisions that lead to improved crop yields and quality. The integration of Crop Monitoring Software with other agricultural technologies further enhances its capabilities, making it an indispensable tool for modern farming practices. As the demand for efficient and sustainable agriculture grows, the adoption of such software is expected to rise, contributing significantly to the market's expansion.

Component Analysis

The agricultural mapping software market by component is divided into two primary segments: software and services. The software segment encompasses a range of solutions tailored to various agricultural needs, including GIS software, remote sensing software, and farm management software. These tools are designed to collect, analyze, and interpret data to support decision-making processes in farming operations. The sophistication and variety of available software solutions are continually expanding, driven by ongoing research and development efforts in agritech.

In contrast, the services segment includes consulting, training, maintenance, and support services that complement the software solutions. As more farmers and agricultural enterprises adopt mapp

Bike racks in Chicago. To view or use the attachment files, compression software and special GIS software, such as ESRI ArcGIS, is required.

The French National Mapping Agency (Institut National de l'Information Géographique et Forestière - IGN) is responsible for producing and maintaining the spatial data sets for all of France. At the same time, they must satisfy the needs of different stakeholders who are responsible for decisions at multiple levels from local to national. IGN produces many different maps including detailed road networks and land cover/land use maps over time. The information contained in these maps is crucial for many of the decisions made about urban planning, resource management and landscape restoration as well as other environmental issues in France. Recently, IGN has started the process of creating a high-resolution land use land cover (LULC) maps, aimed at developing smart and accurate monitoring services of LULC over time. To help update and validate the French LULC database, citizens and interested stakeholders can contribute using the Paysages mobile and web applications. This approach presents an opportunity to evaluate the integration of citizens in the IGN process of updating and validating LULC data. Dataset 1: Change detection validation 2019 This dataset contains web-based validations of changes detected by time series (2016 – 2019) analysis of Sentinel-2 satellite imagery. Validation was conducted using two high resolution orthophotos from respectively 2016 and 2019 as reference data. Two tools have been used: Paysages web application and LACO-Wiki. Both tools used the same validation design: blind validation and the same options. For each detected change, contributors are asked to validate if there is a change and if it is the case then to choose a LU or LC class from a pre-defined list of classes. The dataset has the following characteristics: Time period of the change detection: 2016-2019. Time period of data collection: February 2019-December 2019 Total number of contributors: 105 Number of validated changes: 1048; each change was validated by between 1 to 6 contributors. Region of interest: Toulouse and surrounding areas Associated files: 1- Change validation locations.png, 1-Change validation 2019 – Attributes.csv, 1-Change validation 2019.csv, 1-Change validation 2019.geoJSON This dataset is licensed under a Creative Commons Attribution 4.0 International. It is attributed to the LandSense Citizen Observatory, IGN-France, and GeoVille. Dataset 2: Land use classification 2019 The aim of this data collection campaign was to improve the LU classification of authoritative LULC data (OCS-GE 2016 ©IGN) for built-up area. Using the Paysages web platform, contributors are asked to choose a land use value among a list of pre-defined values for each location. The dataset has the following characteristics: Time period of data collection: August 2019 Types of contributors: Surveyors from the production department of IGN Total number of contributors: 5 Total number of observations: 2711 Data specifications of the OCS-GE ©IGN Region of interest: Toulouse and surrounding areas Associated files: 2- LU classification points.png, 2-LU classification 2019 – Attributes.csv, 2-LU classification 2019.csv, 2-LU classification 2019.geoJSON This dataset is licensed under a Creative Commons Attribution 4.0 International. It is attributed to the LandSense Citizen Observatory, IGN-France and the International Institute for Applied Systems Analysis. Dataset 3: In-situ validation 2018 The aim of this data collection campaign was to collect in-situ (ground-based) information, using the Paysages mobile application, to update authoritative LULC data. Contributors visit pre-determined locations, take photographs, of the point location and in the four cardinal directions away from the point and answer a few questions with respect with the task. Two tasks were defined: Classify the point by choosing a LU class between three classes: industrial (US2), commercial (US3) or residential (US5). Validate changes detected by the LandSense Change Detection Service: for each new detected change, the contributor was requested to validate the change and choose a LU and LC class from a pre-defined list of classes. The dataset has the following characteristics Time period of data collection: June 2018 – October 2018 Types of contributors: students from the School of Agricultural and Life Sciences and citizens Total number of contributors: 26 Total number of observations: 281 Total number of photos: 421 Region of interest: Toulouse and surrounding areas Associated files: 3- Insitu locations.png, 3- Insitu validation 2018 – Attributes.csv, 3- Insitu validation 2018.csv, 3- Insitu validation 2018.geoJSON This dataset is licensed under a Creative Commons Attribution 4.0 International. It is attributed to the LandSense Citizen Observatory, IGN-France. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement no 689812.

This web application dataset includes data collected by the U.S. Geological Survey (USGS) as well as environmental climatic, geochemical, and mineralogical variables from various sources. NOTE: This web application is no longer being supported, and has been removed from ArcGIS Online as of September 30, 2023. Please see the Process Steps of this metadata record for more information. Layers include: U.S. Boundary Layers (States, Counties, Watersheds, and EPA Regions), Bacillus anthracis PCR results (rpoB, pXO1, pXO2 genetic markers), Outbreak Counties, NOAA U.S. Climate Normals for Precipitation 1981-2010 (inches per year), USDA Census Data and Non-Agricultural Bison Herd Population Data, Soil pH (SSURGO), Soil pH (STATSGO), Slope (SSURGO), Slope (STATSGO), Flood Frequency (SSURGO), Flood Frequency (STATSGO), Drainage Class (SSURGO), Drainage Class (STATSGO), USGS Soil Geochemistry (0-5 cm depth), USGS Soil Geochemistry (A-horizon), USGS Soil Geochemistry (C-horizon), NOAA NCDC - A ...

The global digital soil mapping platforms market is experiencing robust growth, driven by the increasing need for precision agriculture and sustainable land management practices. The market, estimated at $2.5 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033, reaching approximately $7.8 billion by 2033. This expansion is fueled by several key factors. Firstly, the rising adoption of advanced technologies such as satellite imagery, mobile scouting, and sophisticated data analytics provides farmers and researchers with unprecedented insights into soil properties, enabling optimized fertilizer application, improved irrigation strategies, and enhanced crop yields. Secondly, government initiatives promoting sustainable agriculture and precision farming are significantly boosting market adoption. Further accelerating growth is the increasing awareness of climate change and the consequent need for efficient resource management in agriculture. The agricultural cooperatives, government and research institutions, and agribusiness companies are the main adopters of these technologies, highlighting the broad market appeal. However, high initial investment costs associated with the technology and the need for skilled professionals to interpret the complex data generated present significant challenges to market penetration, especially in developing economies. The market is segmented by application (Agriculture Cooperatives, Government and Research Institutes, Agribusiness Companies, Others) and type (Mobile Scouting, Satellite Imagery, Others), with satellite imagery currently dominating due to its broad coverage and ability to monitor large areas. North America and Europe are expected to lead the market in terms of adoption and revenue generation, but the Asia-Pacific region shows significant potential for future growth, driven by rising agricultural production and technological advancements. The competitive landscape is characterized by a mix of established players like Trimble and Esri, alongside emerging technology providers specializing in data analytics and soil sensing. Companies are continually innovating, focusing on developing user-friendly interfaces, improving data accuracy, and integrating with existing farm management systems. The ongoing development of AI and machine learning algorithms further enhances the analytical capabilities of these platforms, predicting yield and optimizing crop management strategies more effectively. This trend towards greater sophistication and data integration is expected to drive further consolidation and innovation within the market, attracting further investment and propelling its continued expansion in the coming years. While challenges remain, the overall outlook for the digital soil mapping platforms market is overwhelmingly positive, with substantial opportunities for growth and innovation across various geographical regions and applications.

The data in this repository were produced for a global spatial analysis of where and how much terrestrial ecosystems need to be retained on Earth to achieve multiple nature conservation and ecosystem service goals. First, publicly-available (or available on request) datasets representing key sites for the achievement of four environmental 'targets' (biodiversity, carbon, soil and freshwater) were overlaid on a map of remaining terrestrial ecosystems (see associated article for definitions and input data). This was done to determine the extent and location of terrestrial ecosystems that need retention to contribute to these respective targets' achievement. This spatial analysis allowed for the production of four terrestrial ecosystem retention maps, which, when overlaid on one another, allowed for the calculation of the total amount of terrestrial ecosystem retention required to synergistically help achieve all four targets. From this overlay map, the amount of terrestrial ecosystem retention by country was also calculated. This study highlights that much of the world's remaining terrestrial ecosystems need to be retained – kept in-situ – through protection and sustainable use, if global environmental objectives are to be achieved. All of the datasets used to produce the four terrestrial ecosystem retention maps are publicly available or can be sourced upon request (see associated article for specific details). The key results presented in the above mentioned manuscript were derived from quantifying the area of ecosystem retention (using geospatial analytical software), and mapping the location of ecosystem retention, for the four broad environmental imperatives. Humanity is on a pathway of unsustainable loss of the natural systems upon which we, and all life, rely. To date, global efforts to deliver internationally-agreed goals to reduce carbon emissions, halt biodiversity loss, and retain essential ecosystem services, have been poorly integrated. All these goals rely in part on preserving natural (e.g. native, largely unmodified) and semi-natural (e.g. under some form of low-intensity/sustainable human use) forests, woodlands and grasslands. Here, we show how to unify these goals by empirically deriving spatially explicit, quantitative area-based targets for the retention of natural and semi-natural (e.g. native) terrestrial vegetation. We found that at least 67 million km2 of Earth's terrestrial vegetation (∼79% of the area of vegetation remaining) requires retention – via sustainable and appropriate land use and management – to contribute to biodiversity, climate, soil and freshwater objectives under four United Nations Resolutions. This equates to retaining natural and semi-natural vegetation across at least 50% of the total terrestrial (excluding Antarctica) surface of Earth. Our results show where retention efforts could contribute to multiple goals simultaneously. Such management can and should co-occur alongside and be driven by the people who live in and rely on places where natural and sustainably managed vegetation remains in situ, and must be complemented by restoration and appropriate management of more human-modified environments, if global goals are to be realised. The ArcGIS rasters available in this repository represent terrestrial ecosystems (see above mentioned manuscript for definitions and input data) that need to be retained to contribute, respectively, to global environmental targets for biodiversity, carbon, soil and freshwater. A raster map produced by overlapping all four rasters is also provided. The vector map of jurisdictional boundaries was used to extract retention extent by nation.