Areas in cities typically denoted as 'Vacant and Derelict Land', are frequently presented in policy documents as absent of meaning and awaiting development. However, visits to many of these sites offer evidence of abundant citizen activity occurring outside of planning policy. Dog walkers, DIY skatepark builders, pigeon fanciers and reminiscing former factory workers, for example, can all be found inscribing their own narratives, in palimpsest like fashion, upon these landscapes. This spatio-temporally bound and layered mix of contested meanings extends beyond representational capacity offered by traditional cartographic methods as employed in policy decision making. Such a failure to represent these ecologies of citizen-led practices often result in their erasure at the point of formal redevelopment. We explore how one alternative approach may respond to these challenges of representation through a case study project in Glasgow, Scotland. Deep mapping is an ethnographically informed, arts research practice, drawing Cifford Geertz's notion of 'thick description' into a visual-performative realm and seeking to extend beyond the thin map by creating multi-faceted and open-ended descriptions of place. As such, deep maps are not only investigations into place but of equal concern are the processes by which representations of place are generated. Implicit in this are questions about the role of the researcher as initiator, gatherer, archivist or artist and the intertwining between the place and the self. As a methodological approach that embraces multiplicity and favours the 'politicized, passionate, and partisan' over the totalising objectivity of traditional maps, deep mapping offers a potential to give voice to marginalised, micro-narratives existing in tension with one another and within dominant meta-narratives but also triggers new questions over inclusivity. This methodologically focussed chapter explores the ways in which an ethnographically informed, arts research practice may offer alternative insight into spaces of non-aligned narratives. The results from this investigation will offer new framings of spaces within the urban landscape conventionally represented as vacant or empty and generate perspectives on how art research methods may provide valuable investigative tools for decision makers working in such contexts.

Urban greenery has been shown to impact the quality of life in our urbanizing societies. While greenery is traditionally mapped top-down, alternative computational approaches have emerged for mapping greenery from the street level to mimic human sight. Despite the variety of these novel mapping approaches, it has remained unclear how well they reflect human perception in reality. We compared a range of both novel and traditional mapping methods with the self-reported perception of urban greenery at randomly selected study sites across Helsinki, the capital of Finland. The mapping methods included both image segmentation and point cloud-based methods to capture human perspective as well as traditional approaches taking the top-down perspective, i.e., land cover and remote sensing-based mapping methods. The results suggest that all the methods tested are strongly associated with the human perception of greenery at the street-level. However, mapped greenery values were consistently lower than the perceived values. Our results support the use of semantic image segmentation methods over color segmentation methods for greenery extraction to be closer to human perception. Point cloud-based approaches and top-down methods can be used as alternatives to image segmentation in case data coverage for the latter is limited. The results highlight a further research need for a comprehensive evaluation on how human perspective should be mimicked in different temporal and spatial conditions.

The High Definition (HD) Maps market is experiencing robust growth, driven by the escalating demand for autonomous vehicles and Advanced Driver-Assistance Systems (ADAS). The market size in 2025 is estimated at $15.49 billion, projecting a significant expansion over the forecast period (2025-2033). While the provided CAGR (Compound Annual Growth Rate) is missing, considering the rapid technological advancements and increasing adoption of autonomous driving technologies, a conservative estimate would place the CAGR between 15% and 20% for the forecast period. This growth is fueled by several key factors, including the increasing accuracy and detail offered by HD maps compared to traditional maps, enabling safer and more efficient navigation for autonomous vehicles. The market is segmented by type (centralized vs. crowdsourced mapping) and application (autonomous vehicles, ADAS, others), with autonomous vehicles currently dominating the market share due to their critical reliance on precise and up-to-date map data. Major players like TomTom, Google, HERE Technologies, and Baidu Apollo are heavily investing in research and development, fostering innovation and competition within the market. Regional growth is expected to be geographically diverse, with North America and Europe leading the initial adoption, followed by a rapid expansion in the Asia-Pacific region driven by significant investments in autonomous vehicle infrastructure and technological advancements. The competitive landscape is characterized by both established map providers and technology giants entering the market. This intense competition is pushing innovation forward, leading to more accurate, detailed, and frequently updated HD maps. Challenges include the high cost of creating and maintaining HD maps, the need for continuous data updates to reflect dynamic road conditions, and data privacy concerns surrounding the collection and use of location data. Despite these challenges, the long-term outlook for the HD Maps market remains incredibly positive, fueled by the continuous advancement of autonomous driving technology and the increasing demand for improved road safety and traffic management solutions. The market's growth trajectory suggests significant opportunities for both established players and emerging companies in the years to come. We project a substantial increase in market size by 2033, exceeding the 2025 figures by a considerable margin, based on the estimated CAGR.

The global unmanned aerial vehicle (UAV) mapping system market size was valued at USD XXX million in 2022 and is projected to expand at a CAGR of XX% from 2023 to 2032. UAV mapping systems use aerial imagery and data capture technology to create accurate and detailed maps and 3D models of various environments. This technology offers numerous advantages over traditional mapping methods, including increased accuracy, efficiency, and cost-effectiveness. The growing demand for high-resolution maps and 3D models in various industries, such as agriculture, mining, construction, and environmental monitoring, is driving market growth. The increasing adoption of UAVs for mapping and surveying applications, coupled with advancements in software and processing capabilities, is further fueling the market expansion. Moreover, the availability of high-quality aerial imagery and data from UAVs is enabling the development of real-time mapping and monitoring solutions, contributing to the market's growth. Overview The UAV mapping system market is experiencing rapid growth, driven by technological advancements and increasing applications across various industries. The market is estimated to reach a value of over $1.2 billion by 2025.

The herbologist and doula at the Community Health Centre for a BC First Nation currently offers workshops to the community on local traditional medicines and plants. Certain plants only grow during specific times of the year, making the window to offer workshops fairly short. This project was a collaboration between students from the Entry-to-Practice PharmD Program at the University of British Columbia and the First Nation to create a booklet outlining the workshops offered each season, corresponding with the availability of plants used in traditional medicines. The project members interviewed the herbologist to gather relevant information. A booklet was created to present the workshops offered by the herbologist and information on the plants’ availability by season and traditional uses.

Abstract: We present a detailed geomorphological map (1:5000-scale) of a middle mountainous area in Jena, Germany. To overcome limitations associated with traditional field-based approaches and to extend the possibility of manually digital mapping in a structural way, we propose an approach using geographic information systems (GIS) and high-resolution digital data. The geomorphological map features were extracted by manually interpreting and analyzing the combination of different data sources using light detection and ranging (LiDAR) data. A combination of topographic and geological maps, digital orthophotos (DOPs), Google Earth images, field investigations, and derivatives from digital terrain models (DTMs) revealed that it is possible to generate and present the geomorphologic features involved in classical mapping approaches. We found that LiDAR-DTM and land surface parameters (LSPs) can provide better results when incorporating the visual interpretation of multidirectional hillshade and LSP composite maps. The genesis of landforms can be readily identified, and findings enabled us to systematically delineate landforms and geomorphological process domains. Although our approach provides a cost effective, objective, and reproducible alternative for the classical approach, we suggest that further use of digital data should be undertaken to support analysis and applications.

This StoryMap explores the innovative use of imagery in Kaupapa Māori GIS mapping, emphasizing the synergy between traditional Māori knowledge and contemporary geospatial technologies. Key themes include:​Remote Sensing in Environmental Stewardship: Utilizing satellite imagery and aerial photography to monitor natural resources, assess environmental changes, and inform sustainable practices.​Cultural Heritage Preservation: Mapping sacred sites, ancestral lands, and taonga to safeguard Māori heritage and inform cultural revitalization efforts.​Land Use Planning and Development: Employing GIS tools to support iwi and hapū in decision-making processes related to land management, urban planning, and resource allocation.​Community Engagement and Education: Empowering Māori communities through participatory mapping projects, capacity building, and educational initiatives that bridge traditional wisdom with technological advancements.​Through case studies and interactive maps, this StoryMap illustrates the transformative potential of integrating imagery and GIS within Kaupapa Māori frameworks, offering insights and practical applications for indigenous mapping initiatives.

This geospatial dataset provides model-based predictive maps of subsistence land use in rural Interior Alaska. Subsistence harvesting of wild resources is crucial to the well-being of Alaska Natives and rural Alaskans. The development of these community and regional scale maps was intended to improve our understanding of the spatial extent and patterns of subsistence practices, to support communication among land users, and to facilitate predictions of the human impacts from changes in resource availability, climate and environment, land use, and policy. Logistic regression models for predicting subsistence land use were developed using publicly-available maps of documented subsistence use areas assembled by Alaska Department of Fish and Game for 30 communities (Neufeld et al. 2019). Separate models were used for remote communities and road-connected communities. The best-fit models of subsistence land use probability included the terms: distance to community, distance to main travel corridors (rivers for remote communities; roads and rivers for road-connected communities), distance to lakes (for remote communities only), and community population size. The models were applied to 64 rural communities throughout the Interior region to generate probability maps of subsistence land use at the community level (file names: probability_subsistence_*communitytype*_*CommunityName*.tif). A regional probability map of subsistence land use was constructed using the maximum probability value per pixel from community-level maps (file name: probability_subsistence_InteriorAK.tif). Maps of predicted subsistence use areas were created by classifying the community-level probability maps into used and unused areas (file name: classification_subsistence_InteriorAK.zip). Classification accuracy ranged from 83-86%. Results suggest a large spatial extent (353,771 square kilometers (km2)) of subsistence land use in Interior Alaska, comprising ~60% of the region’s land area. These data were produced as part of a study “Geospatial patterns and models of subsistence land use in rural Interior Alaska” by D. R. N. Brown, T. J. Brinkman, G. Neufeld, L. Navarro, C. L. Brown, H. S. Cold, B. L. Woods, and B. L. Ervin published with Ecology and Society (Brown et al., 2022), https://www.ecologyandsociety.org/vol27/iss2/art23/.

This data release presents geologic map data for the bedrock geology of the Aztec 1-degree by 2-degree quadrangle, New Mexico. Geologic mapping incorporates new interpretive contributions and compilation from published geologic map data sources primarily ranging from 1:24,000 to 1:50,000 scale. Much of the geology incorporated from published geologic maps is adjusted based on digital elevation model and natural-color image data sources to improve spatial resolution of the data. Spatial adjustments and new interpretations also eliminate mismatches at source map boundaries. This data set represents only the bedrock geology; deposits of unconsolidated, surficial materials that are typically, but not exclusively, Quaternary in age, are not included in this database. Bedrock in the context of this database includes all metamorphic, sedimentary, and igneous rocks regardless of age. Bedrock geology is continuous to the extent that map units and structures can be appropriately constrained, including throughout areas overlain by surficial deposits. Line features that are projected through areas overlain by surficial deposits are generally attributed with lower identity and existence confidence, larger locational confidence values, and a compilation method in the MethodID field indicating features were projected beneath cover (see Turner and others [2022] for a description of MethodID field). Map units represented in this database range from Paleoproterozic and Mesoproterozic metamorphic and intrusive rocks to Pliocene and Quaternary sedimentary and volcanic rocks. Map units and structures in this data set reflect multiple events that are significant at regional and continental scales including multiple Proterozoic accreted terranes, magmatic episodes, supracrustal depositional environments, and continental margin environments, Ancestral Rocky Mountains, Laramide orogeny, Southern Rocky Mountains volcanism, and Rio Grande rift in the Phanerozoic. Map units are organized within geologic provinces as described by the Seamless Integrated Geologic Mapping (SIGMa) (Turner and others, 2022) extension to the Geologic Map Schema (GeMS) (USGS, 2020). Geologic provinces are used to organize map units based on time-dependent, geologic events rather than geographic or rock type groupings that are typical of traditional geologic maps. The detail of geologic mapping is approximately 1:100,000-scale depending on the scale of published geologic maps and new mapping based on field observations or interpretation from basemap data. The database follows the schema and structure of SIGMa (Turner and others, 2022) that is an extension to GeMS (USGS, 2020). Turner, K.J., Workman, J.B., Colgan, J.P., Gilmer, A.K., Berry, M.E., Johnstone, S.A., Warrell, K.F., Dechesne, M., VanSistine, D.P., Thompson, R.A., Hudson, A.M., Zellman, K.L., Sweetkind, D., and Ruleman, C.A., 2022, The Seamless Integrated Geologic Mapping (SIGMa) extension to the Geologic Map Schema (GeMS): U.S. Geological Survey Scientific Investigations Report 2022–5115, 33 p., https://doi.org/ 10.3133/ sir20225115. U.S. Geological Survey National Cooperative Geologic Mapping Program, 2020, GeMS (Geologic Map Schema)-A standard format for the digital publication of geologic maps: U.S. Geological Survey Techniques and Methods, book 11, chap. B10, 74 p., https://doi.org/10.3133/tm11B10.

Navigation Electronic Map Market Outlook

The global Navigation Electronic Map market size is projected to grow from USD 15.6 billion in 2023 to USD 42.3 billion by 2032, reflecting a remarkable compound annual growth rate (CAGR) of 11.6% during the forecast period. This growth is driven by increasing adoption of advanced navigation systems across various sectors, technological advancements, and rising demand for real-time mapping solutions. One significant growth factor includes the proliferation of location-based services and the integration of artificial intelligence in mapping technologies, which enhances the accuracy and relevance of maps for end-users.

One of the critical drivers for the Navigation Electronic Map market is the continuous evolution of the automotive industry, particularly with the advent of autonomous driving technologies. Self-driving cars rely heavily on high-definition electronic maps for navigation, obstacle detection, and route optimization. The need for precise and dynamic navigation systems is pushing automotive manufacturers and technology companies to invest heavily in this domain. Furthermore, the integration of augmented reality (AR) in navigation systems is creating new avenues for user interaction and experience, making navigation more intuitive and informative for drivers and passengers alike.

Another significant growth factor is the increasing use of navigation systems in the aviation and marine industries. In aviation, navigation electronic maps are crucial for flight planning, air traffic control, and ensuring safe routes. Similarly, in the marine sector, electronic maps aid in route planning, collision avoidance, and navigation through complex waterways. The defense sector also heavily relies on advanced mapping systems for mission planning, reconnaissance, and real-time decision-making. The continuous need for accurate and real-time geographic information in these sectors is a substantial contributor to the marketÂ’s growth trajectory.

The shift towards cloud-based solutions is another pivotal factor driving the expansion of the Navigation Electronic Map market. Cloud deployment offers scalability, ease of access, and real-time data updates, which are essential for modern navigation systems. The ability to seamlessly update maps and provide real-time traffic information enhances user experience and operational efficiency. Additionally, advancements in 5G technology are expected to bolster the performance and reliability of cloud-based navigation systems, further propelling market growth.

Electronic Cartography has become an integral part of modern navigation systems, revolutionizing the way we perceive and interact with maps. Unlike traditional paper maps, electronic cartography offers dynamic and interactive mapping solutions that can be updated in real-time. This technology leverages digital data to provide users with accurate and detailed geographic information, enhancing navigation accuracy and user experience. The integration of electronic cartography in various sectors, such as automotive, aviation, and marine, has led to significant improvements in route planning, obstacle detection, and situational awareness. As the demand for precise and real-time mapping solutions continues to grow, electronic cartography is expected to play a crucial role in shaping the future of navigation technologies.

Regionally, North America is a significant market for navigation electronic maps due to the high adoption rate of advanced technologies and the presence of key industry players. Europe also shows strong growth potential, driven by stringent regulations on vehicle safety and the widespread integration of navigation systems in automobiles. The Asia Pacific region is anticipated to exhibit the highest growth rate during the forecast period, fueled by rapid urbanization, increasing vehicle ownership, and government initiatives to enhance transportation infrastructure. These regional dynamics are pivotal in shaping the overall market landscape.

Component Analysis

The component segment of the Navigation Electronic Map market includes hardware, software, and services. The hardware component comprises GPS devices, sensors, and other navigation equipment. The increasing demand for advanced GPS devices and sensors in automotive and defense applications is a significant factor driving growth in the hardware segment. Additionally, advancements in sensor technology, such as LIDAR and RADAR, have enhanced the accuracy and

The global digital mapping camera system market is poised for steady growth, projected to reach $242.7 million in 2025 and exhibiting a Compound Annual Growth Rate (CAGR) of 2.7% from 2025 to 2033. This growth is fueled by several key factors. Increased adoption of unmanned aerial vehicles (UAVs) or drones for surveying and mapping applications is a significant driver. The rising demand for high-resolution imagery in various sectors, including agriculture, construction, and infrastructure development, is further boosting market expansion. Advancements in sensor technology, leading to improved image quality and processing capabilities, are also contributing to market growth. Furthermore, the decreasing cost of digital mapping camera systems and readily available data processing software makes this technology more accessible to a wider range of users. Segment-wise, the linear array scanners (pushbroom) segment currently holds a larger market share due to its established technology and widespread use in traditional aerial mapping. However, area array systems are witnessing accelerated adoption due to their higher speed and efficiency in capturing large areas. The unmanned aircraft application segment is predicted to show the highest growth rate, driven by the aforementioned factors and the increasing affordability of drone technology. Geographic distribution reveals a strong presence in North America and Europe, with developing economies in Asia-Pacific showing considerable growth potential. Competition in the market is fairly intense with established players like Vexcel Imaging, Leica Geosystems, and Teledyne Optech dominating the market through their advanced product offerings and extensive customer networks. Newer entrants and smaller companies are focusing on niche applications and specialized solutions to compete effectively. Challenges include the high initial investment cost for advanced systems and the need for skilled personnel to operate and process data. However, technological advancements and increased affordability are likely to alleviate these challenges over time, paving the way for wider adoption and sustained market growth in the coming years.

Collection of digitised orthophoto maps over Queensland at various scales 1975–1996. An orthophoto map displays traditional map contours over an aerial photograph base. The quality of scans varies. The majority of series include key maps.

Please note: Each CSV file includes a jpg_linkage column this column contains the URL required to access the related map scan.

Aerial Mapping System Market Outlook

The global aerial mapping system market size is estimated to reach USD 4.5 billion in 2023 and is projected to grow to USD 10.2 billion by 2032, at a compound annual growth rate (CAGR) of 9.7% during the forecast period. The primary growth drivers for this market include advancements in geospatial technology, rising demand for accurate and cost-effective location-based services, and increased governmental and commercial investments in infrastructure and urban planning.

One of the most significant growth factors in the aerial mapping system market is the rapid technological advancements in geospatial data collection and processing. Innovations in hardware, such as high-resolution cameras and LiDAR sensors, combined with sophisticated software algorithms for data analysis, have dramatically improved the accuracy and efficiency of aerial mapping. These advancements have made it possible to capture highly detailed and precise geospatial data, which is essential for a wide range of applications, from urban planning to environmental monitoring.

Increasing demand for cost-effective and accurate location-based services is another crucial factor driving market growth. As industries such as agriculture, construction, and disaster management become more reliant on precise geospatial information, the need for advanced aerial mapping systems has surged. These systems offer a significant advantage over traditional ground-based survey methods by providing comprehensive, real-time data that can be used for various decision-making processes. This trend is expected to continue as more sectors recognize the value of accurate geospatial data.

Additionally, substantial investments from both governmental and commercial entities in infrastructure and urban planning are fueling the growth of the aerial mapping system market. Governments worldwide are increasingly adopting aerial mapping technologies for city planning, infrastructure development, and environmental monitoring. In the commercial sector, industries such as real estate, mining, and utilities are leveraging aerial mapping systems for site assessment, resource management, and operational efficiency. These investments are expected to drive the market further, as they underscore the critical role of aerial mapping in modern infrastructure development.

From a regional perspective, North America holds a significant share of the aerial mapping system market, primarily due to the presence of major technology companies and extensive governmental initiatives focused on infrastructure and environmental monitoring. However, the Asia Pacific region is expected to witness the highest growth rate during the forecast period, driven by rapid urbanization, infrastructural development, and increasing adoption of advanced technologies in countries like China and India.

Component Analysis

The aerial mapping system market is segmented by components into hardware, software, and services. Hardware components, such as cameras, sensors, and drones, are essential for collecting high-resolution aerial imagery and data. The advancements in these hardware components have significantly enhanced the efficiency and accuracy of aerial mapping systems. High-resolution cameras and LiDAR sensors, for example, provide detailed and precise geospatial data, which is crucial for various applications, including urban planning and environmental monitoring.

Software components play a pivotal role in processing and analyzing the data collected by hardware. Sophisticated software algorithms can convert raw data into actionable insights, making it easier for users to interpret and utilize the information. The development of advanced data processing and analysis software has been a major driver for the market, as it allows for the efficient handling of large volumes of geospatial data. This software is essential for generating accurate maps, 3D models, and other valuable outputs from aerial imagery.

Services, which include data collection, processing, analysis, and consulting, are also a significant segment of the aerial mapping system market. These services are often provided by specialized companies that have the expertise and equipment to conduct aerial surveys and produce high-quality geospatial data. The demand for these services is driven by the need for accurate and timely information for various applications, such as disaster management, environmental monitoring, and infrastructure development. Service providers play a crucial role in the market by offering end-to-end solutions, from dat

Aerial Lidar Mapping Solutions Market Outlook

The global aerial LiDAR mapping solutions market size was valued at approximately USD 1.25 billion in 2023 and is projected to grow to USD 4.50 billion by 2032, at a compound annual growth rate (CAGR) of 15.2%. This robust growth trajectory is primarily driven by the increasing demand for precise geospatial data and advancements in technology that have made LiDAR systems more efficient and affordable. Another significant growth factor is the expanding application of LiDAR technology across various industries, from forestry and agriculture to infrastructure and environmental monitoring, as these sectors seek more accurate and efficient mapping solutions.

One of the primary growth drivers for the aerial LiDAR mapping solutions market is the rising adoption of advanced technologies such as drones and unmanned aerial vehicles (UAVs). These platforms enable rapid and flexible data collection over large areas, significantly reducing the time and cost associated with traditional mapping methods. Additionally, the integration of artificial intelligence (AI) and machine learning algorithms into LiDAR systems enhances data processing capabilities, allowing for more accurate and comprehensive analysis. This technological evolution is making LiDAR increasingly indispensable for sectors that require high-precision mapping and data collection.

Another compelling factor contributing to market growth is the increasing need for disaster management and environmental monitoring. Governments and organizations worldwide are recognizing the importance of real-time data for effective disaster response and environmental conservation efforts. LiDAR technology provides detailed topographical information that is crucial for predicting natural disasters like floods and landslides, as well as for monitoring changes in forests, water bodies, and urban areas. This growing awareness and adoption in environmental applications are expected to drive significant demand for aerial LiDAR mapping solutions.

Furthermore, the burgeoning infrastructure sector is set to propel market growth substantially. As urbanization accelerates globally, there is a heightened need for detailed and accurate mapping of infrastructure projects. LiDAR technologies are increasingly being utilized to survey and map construction sites, roadways, and rail systems with unmatched precision, enabling better planning and execution. This is especially critical in smart city initiatives where accurate geospatial data is fundamental for planning efficient infrastructure and public services. Thus, the infrastructure boom is likely to be a key driver for the aerial LiDAR mapping solutions market through 2032.

The integration of UAV Surveying Laser Lidar technology is transforming the landscape of aerial mapping by enhancing the precision and efficiency of data collection. UAVs equipped with laser lidar systems can capture high-resolution topographical data with remarkable accuracy, even in challenging terrains. This capability is particularly beneficial for applications in forestry, agriculture, and infrastructure, where detailed spatial information is crucial. The use of UAVs for surveying not only reduces operational costs but also minimizes the environmental impact compared to traditional methods. As industries continue to recognize the advantages of UAV Surveying Laser Lidar, its adoption is expected to grow, further driving the demand for advanced aerial mapping solutions.

Regionally, North America is expected to dominate the aerial LiDAR mapping solutions market over the forecast period. This can be attributed to the region's early adoption of advanced technologies, substantial investments in disaster management and environmental monitoring, and the presence of key market players. Additionally, the Asia Pacific region is anticipated to exhibit the highest growth rate, driven by rapid urbanization, infrastructural developments, and increasing governmental initiatives to adopt advanced geospatial technologies. Europe and Latin America are also expected to witness substantial growth, spurred by the rising use of LiDAR in forestry, agriculture, and urban planning initiatives.

Component Analysis

The aerial LiDAR mapping solutions market is segmented into hardware, software, and services. The hardware segment encompasses LiDAR sensors, GPS units, and inertial measurement units (IMUs), which are essential for capturing accurate geospatial data. Advances in sensor

Choropleth maps are fundamental tools for geographic data analysis, primarily relying on color to convey information. Consequently, the design of their color schemes is of paramount importance in choropleth map production. The traditional coloring methods offered by GIS tools such as ArcGIS and QGIS are not user-friendly for non-professionals. These tools provide numerous color schemes, making selection difficult, and cannot also easily fulfill personalized coloring needs, such as requests for 'summer-like' map colors. To address these shortcomings, we develop a novel system that leverages a large language model and map color design principles to generate contextually relevant and user-aligned choropleth map color schemes. The system follows a three-stage process: Data processing, which provides an overview and classification of the data; Color Concept Design, where color theme and mode are conceptualized based on data characteristics and user intentions; and Color Scheme Design, where specific colors are assigned to classes. Our system incorporates an interactive interface for choropleth map color design and allows users to customize color choices flexibly. Through user studies and evaluations, the system demonstrates acceptable usability, accuracy, and flexibility, with users highlighting its efficiency and ease of use.

The Geologic Map Index of Alaska (Map Index) is a GIS web feature service paired with an interactive web map application that provides access to an actively growing geographic index of geology-related maps of Alaska and adjacent areas. This online research tool provides the locations and outlines of most DGGS and U.S. Geological Survey (USGS) geologic maps of Alaska in a single, interactive web application. It allows searches of the map database by geographic area of interest, keywords, publishing agency, dates, and other criteria. The search results link DGGS's comprehensive, multi-agency publications database, where users can view and download publications for free. Map Index provides access to traditional geologic maps and sample location, geologic hazards, and geologic resources maps. In addition, DGGS plans to add outlines and data to the application for new and remaining geologic maps published by DGGS, USGS, U.S. Bureau of Mines, and U.S. Bureau of Land Management. Reports without maps can be accessed through DGGS's comprehensive publications database, .

Correlation of the drug names appearing in four Han Dynasty excavated text with the Historical GIS data for those drugs, as geo-located in the fifth-cenutry 本草經集注. These data forms the back bone for maps published in the article "Mapping the Bencao" in Asian Medicine, 2023 as well as for the interactive Tableau map, titled "Mapping Drugs in Han Dynasty Excavated Texts" https://public.tableau.com/app/profile/dr.michael.stanley.baker/viz/MappingDrugsinHanDynastyExcavatedTexts/Terrain

A map tile layer featuring 2015 Color Digital Elevation Model (DEM) with Hillshade Model. This DEM was produced from airborne Lidar data collected between January 18 – February 5, 2015.Shaded relief maps (also known as hillshades) are a textured representation of the terrain surface. This is accomplished by using a hypothetical light source to enhance terrain visualization, allowing the user to easily interpret the landforms. Shaded relief can be displayed either using a gray-scale ramp, or by using a color ramp based on elevation. The shaded relief surfaces published by TLCGIS are produced from bare-earth elevation data collected using Lidar. The 2015 Lidar data was collected in January and February of 2015. The fundamental accuracy for this data was tested to meet 0.33 feet for unvegetated surfaces. What is a Color Relief Map?A color 3D representation of the terrain is created by merging the images from the color symbolized elevation model and hillshade model. This function uses the altitude and azimuth properties to specify the sun's position.Relief maps are usually more visually expressive than traditional topographical maps, since they are able to depict landforms more realistically in comparison to topographical maps, which typically rely on contour lines and spot heights to depict elevation. Using only contour lines to represent the earth’s surface can be hard to interpret, especially to those unfamiliar with cartography. Complex terrain can make interpretation harder still. Relief maps are easy to understand and interpret visually, proving very useful for accurately communicating a true representation of the landscape. Relief maps also require less technical knowledge to be understood.Shaded relief maps or hillshading, illustrate the real, three-dimensional landforms as accurately as possible, in a map’s two-dimensions. This is achieved by illuminating the earth’s surface with a hypothetical light source; most often from the upper-left corner. The light source casts shadows across the surface geography, resulting in a map that mirrors the landscape as if naturally observed from a considerable height, with peaks and aspects facing the light being brightly “illuminated,” and valleys being in the “shade.” Shaded relief maps create the illusion of a three-dimensional appearance on standard paper or a screen.This tile layer is also available for download as a tile package at: Leon County Color Relief 2015 - Map Tile Package

This dataset is called the Gridded SSURGO (gSSURGO) Database and is derived from the Soil Survey Geographic (SSURGO) Database. SSURGO is generally the most detailed level of soil geographic data developed by the National Cooperative Soil Survey (NCSS) in accordance with NCSS mapping standards. The tabular data represent the soil attributes, and are derived from properties and characteristics stored in the National Soil Information System (NASIS). The gSSURGO data were prepared by merging traditional SSURGO digital vector map and tabular data into a Conterminous US-wide extent, and adding a Conterminous US-wide gridded map layer derived from the vector, plus a new value added look up (valu) table containing "ready to map" attributes. The gridded map layer is offered in an ArcGIS file geodatabase raster format.

The raster and vector map data have a Conterminous US-wide extent. The raster map data have a 10 meter cell size that approximates the vector polygons in an Albers Equal Area projection. Each cell (and polygon) is linked to a map unit identifier called the map unit key. A unique map unit key is used to link to raster cells and polygons to attribute tables, including the new value added look up (valu) table that contains additional derived data.

The value added look up (valu) table contains attribute data summarized to the map unit level using best practice generalization methods intended to meet the needs of most users. The generalization methods include map unit component weighted averages and percent of the map unit meeting a given criteria.

The Gridded SSURGO dataset was created for use in national, regional, and state-wide resource planning and analysis of soils data. The raster map layer data can be readily combined with other national, regional, and local raster layers, e.g., National Land Cover Database (NLCD), the National Agricultural Statistics Service (NASS) Crop Data Layer, or the National Elevation Dataset (NED).

The El Pilar Project has been conducting research at El Pilar, Belize and Guatemala since 1993, and was founded on a base of survey work that goes back to 1983. This unusual archaeological program recognizes the present environment as a part of the ancient Maya past. Our mission is the preservation and conservation of endangered resources through local and international education. Addressing tensions between culture and nature, we use the past as a reference to build a responsible future. Weaving together traditional knowledge and practice with scientific inquiry and interpretation, we promote a deeper awareness of heritage through local partnership.

The University of California Santa Barbara (UCSB) Maya Forest GIS is an essential tool to organize and use the numerous geographic resources involved in our studies, and provide reliable datasets for the project.