This dataset consists of the collection of data for the mapping of the Portugal mainland botanical species by Maria Teresa de Carvalho e Vasconcelos. It includes the Part I of the degree internship report. Plants were samples from different areas of the districts Castelo Branco, Évora, Portalegre and Santarém.

Abstract

This dataset and its metadata statement were supplied to the Bioregional Assessment Programme by a third party and are presented here as originally supplied.

The Geofabric Surface Cartography product provides a set of related feature classes to be used as the basis for the production of consistent hydrological cartographic maps. This product contains a geometric representation of the (major) surface water features of Australia (excluding external territories). Primarily, these are natural surface hydrology features but the product also contains some man-made features (notably reservoirs, canals and other hydrographic features).

The product is fully topologically correct which means that all the stream segments flow in the correct direction.

This product contains fifteen feature types including: Waterbody, Mapped Stream, Mapped Node, Mapped Connectivity (Upstream), Mapped Connectivity (Downstream), Sea, Estuary, Dam, Structure, Canal Line, Water Pipeline, Terrain Break Line, Hydro Point, Hydro Line and Hydro Area.

Purpose

This product contains a geometric representation of the (major) surface water features of 'geographic Australia' excluding external territories. It is intended to be used as the basis for the production of consistent hydrological cartographic map products, as well as the visualisation of surface hydrology within a GIS to support the selection of features for inclusion in cartographic map production.

This product can also be used for stream tracing operations both upstream and downstream however, as this is a mapped representation, streams may be represented as interrupted or intermittent features. In contrast, the Geofabric Surface Network product represents the same stream as a continuous connected feature, that is, the path that stream would take (according to the terrain model) if sufficient water were available for flow. Therefore, for stream tracing operations where full stream connectivity is required, the Geofabric Surface Network product should be used.

Dataset History

This dataset and its metadata statement were supplied to the Bioregional Assessment Programme by a third party and are presented here as originally supplied.

Geofabric Surface Cartography is part of a suite of Geofabric products produced by the Australian Bureau of Meteorology. The source data input for the Geofabric Surface Cartography product is the AusHydro v1.7.2 (AusHydro) surface hydrology data set. The AusHydro database provides a seamless surface hydrology layer for Australia at a nominal scale of 1:250,000. It consists of lines, points and polygons representing natural and man-made features such as watercourses, lakes, dams and other water bodies. The natural watercourse layer consists of a linear network with a consistent topology of links and nodes that provide directional flow paths through the network for hydrological analysis.

This network was used to produce the GEODATA 9 Second Digital Elevation Model (DEM-9S) Version 3 of Australia (https://www.ga.gov.au/products/servlet/controller?event=GEOCAT_DETAILS&catno=66006).

Geofabric Surface Cartography is an amalgamation of two primary datasets. The first is the hydrographic component of the GEODATA TOPO 250K Series 3 (GEODATA 3) product released by Geoscience Australia (GA) in 2006. The GEODATA 3 dataset contains the following hydrographic features: canal lines, locks, rapid lines, spillways, waterfall points, bores, canal areas, flats, lakes, pondage areas, rapid areas, reservoirs, springs, watercourse areas, waterholes, water points, marine hazard areas, marine hazard points and foreshore flats.

It also provides information on naming, hierarchy and perenniality. The dataset also contains cultural and transport features that may intersect with hydrographic features. These include: railway tunnels, rail crossings, railway bridges, road tunnels, road bridges, road crossings, water pipelines.

Refer to the GEODATA 3 User Guide http://www.ga.gov.au/meta/ANZCW0703008969.html for additional information.

The second primary dataset is based on the GEODATA TOPO-250K Series 1 (GEODATA 1) watercourse lines completed by GA in 1994, which was supplemented by additional line work captured by the Australian National University (ANU) during the production of the DEM-9S to improve the representation of surface water flow. This natural watercourse dataset consists of directional flow paths and provides a direct link to the flow paths derived from the DEM. There are approximately 700,000 more line segments in this version of the data.

AusHydro uses the natural watercourse geometry from the ANU enhanced GEODATA 1 data, and the attributes (names, perenniality and hierarchy) associated with GEODATA 3 to produce a fully attributed data set with topologically correct flow paths. The attributes from GEODATA 3 were attached using spatial queries to identify common features between the two datasets. Additional semi-automated and manual editing was undertaken to ensure consistent attribution along the entire network.

AusHydro dataset includes a unique identifier for each line, point and polygon. AusHydro-ID will be used to maintain the dataset and to incorporate higher resolution datasets in the future. The AusHydro-ID will be linked to the ANUDEM streams through a common segment identifier and ultimately to a set of National Catchments Boundaries (NCBs).

Changes at v2.1

! New Water Storages in the WaterBody FC.

Changes at v2.1.1

! 16 New BoM Water Storages attributed in the AHGFWaterBody feature class

and 1 completely new water storage feature added.



- Correction to spelling of Numeralla river in AHGFMappedStream (formerly

Numaralla).



- Flow direction of Geometric Network set.

Processing steps:

1. AusHydro Surface Hydrology dataset is received and loaded into the Geofabric development GIS environment

2. feature classes from AusHydro are recomposed into composited Geofabric hydrography dataset feature classes in the Geofabric Maintenance Geodatabase.

3. re-composited feature classes in the Geofabric Maintenance Geodatabase Hydrography Dataset are assigned unique Hydro-IDs using ESRI ArcHydro for Surface Water (ArcHydro: 1.4.0.180 and ApFramework: 3.1.0.84)

4. feature classes from the Geofabric Maintenance Geodatabase hydrography dataset are extracted and reassigned to the Geofabric Surface Cartography Feature Dataset within the Geofabric Surface Cartography Geodatabase.

A complete set of data mappings, from input source data to Geofabric Products, is included in the Geofabric Product Guide, Appendices.

Dataset Citation

Bureau of Meteorology (2014) Geofabric Surface Cartography - V2.1.1. Bioregional Assessment Source Dataset. Viewed 12 December 2018, http://data.bioregionalassessments.gov.au/dataset/ce5b77bf-5a02-4cf8-9cf2-be4a2cee2677.

The Human Geography Map (World Edition) web map provides a detailed vector basemap with a monochromatic style and content adjusted to support Human Geography information. Where possible, the map content has been adjusted so that it observes WCAG contrast criteria.This basemap, included in the ArcGIS Living Atlas of the World, uses 3 vector tile layers:Human Geography Label, a label reference layer including cities and communities, countries, administrative units, and at larger scales street names.Human Geography Detail, a detail reference layer including administrative boundaries, roads and highways, and larger bodies of water. This layer is designed to be used with a high degree of transparency so that the detail does not compete with your information. It is set at approximately 50% in this web map, but can be adjusted.Human Geography Base, a simple basemap consisting of land areas in a very light gray only.The vector tile layers in this web map are built using the same data sources used for other Esri Vector Basemaps. For details on data sources contributed by the GIS community, view the map of Community Maps Basemap Contributors. Esri Vector Basemaps are updated monthly.Learn more about this basemap from the cartographic designer in Introducing a Human Geography Basemap.Use this MapThis map is designed to be used as a basemap for overlaying other layers of information or as a stand-alone reference map. You can add layers to this web map and save as your own map. If you like, you can add this web map to a custom basemap gallery for others in your organization to use in creating web maps. If you would like to add this map as a layer in other maps you are creating, you may use the tile layer item referenced in this map.

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.

This digital data release contains geospatial data for the geologic map of the O’Neill 1 degree by 2 degree geologic map in Nebraska, originally published in 2008 by R.E. Diffendal and others. The original map consists of a 1:250,000 scale map plate with a “stack unit” structure showing multiple overlying units, as well as several roughly 1:750,000 scale maps in an accompanying pamphlet showing bedrock geology and structure contours. To capture as much of this content as possible in a geodatabase, three “layers” are included in this database: 1) Overlay polygons showing Quaternary loess deposits (Qes) where they overlay older Quaternary units; 2) a layer (consisting of line and polygon feature classes) showing Quaternary and bedrock units as depicted on the published 1:250,000 scale map (with the exception of Qes as described above), 3) a “bedrock” layer (consisting of line and polygon feature classes), showing pre-Quaternary units. Vector data were created by a combination of exporting vectors from published PDF files and hand digitizing against georegistered images of the published map and associated pamphlet figures. Required fields and non-spatial tables were populated with data from the printed map and pamphlet. The spatial data are accompanied by non-spatial tables that describe the sources of geologic information, a description of geologic map units, a glossary of terms, and a Data Dictionary that duplicates the Entity and Attribute information contained in the metadata file.

The data release for the geologic and structure maps of the Kalispell 1 x 2 degrees quadrangle, Montana, and Alberta and British Columbia, is a Geologic Map Schema (GeMS)-compliant version that updates the GIS files for the geologic map published in U.S. Geological Survey (USGS) Miscellaneous Investigations Series Map I-2267 (Harrison and others, 2000). The updated digital data present the attribute tables and geospatial features (lines and polygons) in the format that meets GeMS requirements. This data release presents the geologic map as shown on the plates and captured in geospatial data for the published map. Minor errors, such as mistakes in line decoration or differences between the digital data and the map image, are corrected in this version. The database represents the geology for the 16,436 square kilometer, geologically complex Kalispell 1 x 2 degrees Quadrangle, at a publication scale of 1:250,000. The map covers primarily Flathead and Lincoln Counties, but also includes minor parts of Glacier, Lake, and Sanders Counties. These GIS data supersede those in the interpretive report: Harrison, J.E., Cressman, E.R., Whipple, J.W., Kayser, H.Z., Derkey, P.D., and EROS Data Center, 2000, Geologic and structure maps of the Kalispell 1:250,000 quadrangle, Montana, and Alberta and British Columbia: a digital database: U.S. Geological Survey Miscellaneous Investigations Series Map I-2267, version 1.0, 23 p., scale 1:250,000, https://pubs.usgs.gov/imap/i2267/.

Market Size and Growth: The global digital cartography market is projected to reach a value of USD 26.4 billion by 2033, expanding at a CAGR of 13.2% from 2025 to 2033. The increasing demand for accurate and real-time geospatial data, particularly in the commercial and military sectors, is a major driver of market growth. Advancements in technology, such as the rise of 3D mapping and the integration of artificial intelligence, are also contributing to the market's expansion. Key Trends and Market Segmentation: Growth in the digital cartography market is being fueled by several key trends, including the increasing adoption of smartphones and tablets, the rise of autonomous vehicles, and the growing use of geospatial data in business intelligence. The market is segmented based on application (personal use, commercial use, military use, others) and type (2D, 3D). Key players in the global digital cartography market include Google, Microsoft, Apple, Mapbox, and DigitalGlobe. Digital cartography is the creation of maps using digital tools and technologies. It is a rapidly growing field, driven by the increasing availability of digital data and the growing need for accurate and up-to-date maps. The digital cartography market is expected to grow from USD 7.2 billion in 2022 to USD 21.6 billion by 2029, at a compound annual growth rate (CAGR) of 16.7% during the forecast period.

This data set provides global forest area, forest growing stock, and forest biomass data at 1-degree resolution for the period 1950-2010. The data set is based on a compilation of forest area and growing stock data reported in international assessments performed by FAO, MCPFE (now Forest Europe), and UNECE. Data of different assessments are to the extent possible harmonized to reflect both forest area and other wooded land, to be comparable between countries and assessments.

Digital Cartography Market Outlook

The digital cartography market size was valued at approximately USD 10.5 billion in 2023, and it is projected to reach USD 26.9 billion by 2032, growing at a compound annual growth rate (CAGR) of 11.1% during the forecast period. The rapid growth in the market is driven by the increasing demand for advanced mapping solutions across various industries, such as urban planning, transportation, and defense. The integration of digital cartography with emerging technologies, such as artificial intelligence and machine learning, further propels market growth by enhancing the accuracy and efficiency of mapping applications.

The digital cartography market is witnessing significant growth due to several key factors. Firstly, the increasing need for accurate and up-to-date geographical information in urban planning and development projects is a major driving force. Cities worldwide are expanding, and urban planners require sophisticated mapping tools to manage infrastructure, zoning, and environmental concerns effectively. Additionally, the rise of smart cities initiatives is boosting the demand for digital cartography solutions as these cities rely heavily on precise mapping data for efficient resource management and urban mobility solutions.

Another pivotal growth factor is the expanding application of digital cartography in the transportation sector. As global transportation networks become more complex, there is a heightened need for accurate and real-time mapping data to optimize logistics, route planning, and traffic management. The advent of autonomous vehicles also underscores the importance of high-fidelity digital maps to ensure safe and efficient navigation. The integration of GPS technology and real-time traffic data empowers transportation agencies and companies to enhance operational efficiency and reduce travel times, thus fueling market expansion.

The adoption of digital cartography in agriculture is also contributing to market growth. Precision agriculture relies on detailed mapping data to monitor and manage crops, soil conditions, and irrigation systems. By leveraging digital maps, farmers can optimize their agricultural practices, leading to increased crop yields and sustainable farming. Additionally, the use of drones and satellite imagery in conjunction with digital cartography provides farmers with valuable insights into crop health and pest infestations, further driving market demand.

In the realm of defense and intelligence, the concept of the Land Digital Battlefield is gaining traction. This innovative approach leverages digital cartography to create comprehensive, real-time maps of battlefields, enhancing situational awareness and strategic planning for military operations. By integrating advanced mapping technologies with AI and machine learning, defense forces can simulate various scenarios, assess potential threats, and optimize resource allocation. The Land Digital Battlefield not only improves operational efficiency but also ensures the safety of personnel by providing accurate and up-to-date geographical information. As defense organizations continue to adopt digital cartography solutions, the Land Digital Battlefield is set to become a cornerstone of modern military strategy.

Regionally, the digital cartography market shows a varied growth trajectory. North America is expected to dominate the market due to the presence of advanced technology infrastructure and significant investments in smart city projects. Europe follows closely, driven by stringent environmental regulations and the need for advanced mapping solutions in urban development. Meanwhile, the Asia Pacific region is poised for substantial growth, fueled by rapid urbanization, increasing government initiatives, and the rising adoption of smart technologies. Latin America and the Middle East & Africa, while smaller in market size, are also witnessing growth due to infrastructural developments and the need for accurate mapping in resource management.

Component Analysis

The digital cartography market is segmented by component into software, hardware, and services. Each component plays a crucial role in the overall functionality and effectiveness of digital cartography solutions. The software segment is particularly vital as it encompasses the tools and applications used to create, analyze, and visualize digital maps. This segment is witnessing rapid advancements with the integration of AI and machine learning algori

A pre-configured, multi-layer web map for viewing all Growing Degree Days scenarios. (To launch the map from the Climate Change Open Data site, select "View Metadata" under the "About" heading, then look for the button labeled "Open in Map Viewer" to the upper right.) The map layers depict historical and projected changes in growing degree days (GDD), a measure of heat accumulation in plants which indicates cumulative seasonal warming above a base temperature of 50°F. Geographic units: HUC10. Map layer data include historical (1970-1999) values plus two projections each for two future time periods, 2050s (2040-2069) and 2080s (2070-2099), based on lower and higher greenhouse gas emission scenarios, RCP 4.5 and RCP 8.5. Data classes and symbology by Robert Norheim, Climate Impacts Group, based on the CMIP5 projections used in the IPCC 2013 report. Data source: Mote et al. 2015.

Proportion of user responses with the degree of divergence between the perceived position and the one defined by the algorithm, for each data set. Larger values close to the line with zero position divergence means that there is more agreement between users and the algorithm.

Digital elevation model used for the conservation assessment of Greater Sage-grouse and sagebrush habitat conducted by the Western Association of Fish and Wildlife Agencies. Digital elevation models were downloaded from the USGS National Elevation Dataset (NED) which was developed by merging the highest-resolution, best quality elevation data available across the United States into a seamless raster format to provide 1:24,000-scale Digital Elevation Model (DEM) data for the conterminous US.

The data release for the geologic and structure maps of the Wallace 1 x 2 degrees quadrangle, Montana and Idaho, is a Geologic Map Schema (GeMS)-compliant version that updates the GIS files for the geologic map published in U.S. Geological Survey (USGS) Miscellaneous Investigations Series Map I-1509-A (Harrison and others, 2000). The updated digital data present the attribute tables and geospatial features (points, lines and polygons) in the format that meets GeMS requirements. This data release presents the geologic map as shown on the plates and captured in geospatial data for the published map. Minor errors, such as mistakes in line decoration or differences between the digital data and the map image, are corrected in this version. The database represents the geology for the 16,754 square kilometer, geologically complex Wallace quadrangle in northern Idaho and western Montana, at a publication scale of 1:250,000. The map covers primarily Lake, Mineral, Sanders and Shoshone Counties, but also includes minor parts of Flathead, Lincoln, and Missoula Counties. These GIS data supersede those in the interpretive report: Harrison, J.E., Griggs, A.B., Wells, J.D., Kelley, W.N., Derkey, P.D., and EROS Data Center, 2000, Geologic and structure maps of the Wallace 1- x 2- degree quadrangle, Montana and Idaho: a digital database: U.S. Geological Survey Miscellaneous Investigations Series Map I-1509-A, https://pubs.usgs.gov/imap/i1509a/.

This data set contains up to nine types of digital elevation data: 1-1 degree blocks, 2-1 degree x 3 degree mosaic of elevation (latitude/longitude coordinate system), 3-1 degree x 3 degree mosaic of slope, 4-1 degree x 3 degree mosaic of aspect (latitude/longitude coordinate system), 5-1 degree x 3 degree mosaic of filtered elevation (5 x 5 filter), 6-1 degree x 3 degree mosaic of elevation (UTM registered), 7-1 degree x 3 degree mosaic of slope (UTM registered), 8-1 degree x 3 degree mosaic of aspect (UTM registered), 9-1 degree x 3 degree mosaic of shaded relief (latitude/longitude coordinate system). Data coverage is from 1982 to present with work ongoing. Data source is 1:250,000 scale Defense Mapping Agency Digital Terrain Series. The data set currently contains 966 records with estimated growth of 5-15 records per year. Storage required varies by selection on area size. Data are available on: 9-track, 800 bpi, 1600 bpi, 6250 bpi, unlabeled, unblocked, or BCD tape. Subsets on the main file and custom formats as well as limited documentation is available.

    Data is organized by 7 1/2 ' or 15 ' quads. This data is intended to be used
    for land cover analysis, wildlife refuge studies, drainage analysis, and land
    use planning.

We introduce the Lateral Transfer Map (LTM), a tool for students to actively and visually explore the transfer of ideas, skills, and concepts across concurrent coursework. The LTM is an extension of a concept map, replacing interconnected concepts with courses. Just as a concept map represents the interconnectivity of concepts and ideas, the LTM represent the connectedness of courses, illustrating how knowledge and information learned in one course is used in another. LTMs draw from the theory of knowledge transfer across disciplinary domains and contexts. LTMs are appropriate for use in any course; we describe its use in an introductory course for STEM majors to help students understand connections and motivations in first-year courses. LTMs also represent a useful diagnostic for instructors to better understand and address how students view connections (or lack thereof) among disciplines or concurrent coursework.

Primary Image: A lateral transfer map drawn by a student in the Metacognition course to illustrate how she transfers information or skills from one class to another.

Abstract ======== The Mercury Dual Imaging System (MDIS) consists of two cameras, a Wide Angle Camera (WAC) and a Narrow Angle Camera (NAC), mounted on a common pivot platform. This dataset includes Map Projected High- Incidence Angle Basemap Illuminated from the East RDRs (HIEs) which comprise a global map of I/F measured by the NAC or WAC filter 7 (both centered near 750 nm) during the the Extended Mission at high incidence angles to accentuate subtle topography, photometrically normalized to a solar incidence angle (i) = 30 degrees, emission angle (e) = 0 degrees, and phase angle (g) = 30 degrees at a spatial sampling of 256 pixels per degree. The HIE data set is a companion to the Map Projected High-Incidence Angle Basemap Illluminated from the West RDR (HIW) data set. Together the two data sets are intended to detect and allow the mapping of subtle topography. They complement a Basemap Data Record (BDR) data set also composed of WAC filter 7 and NAC images acquired at moderate/high solar incidence angles centered near 68 degrees (changed to 74 degrees in the final end-of-mission data delivery), and a Low Incidence Angle (LOI) data set also composed of WAC filter 7 and NAC images acquired at lower incidence centered near 45 degrees, analogous to the geometry used for color imaging. The map is divided into 54 'tiles', each representing the NW, NE, SW, or SE quadrant of one of the 13 non-polar or one of the 2 polar quadrangles or 'Mercury charts' already defined by the USGS. Each tile also contains 5 backplanes: observation ID; BDR metric, a metric used to determine the stacking order of component images, modified for the higher incidence angle centered near 78 degrees; solar incidence angle; emission angle; and phase angle.

This pie chart illustrates the distribution of degrees—Bachelor’s, Master’s, and Doctoral—among PERM graduates from Cartography And Geographic Information Systems. It shows the educational composition of students who have pursued and successfully obtained permanent residency through their qualifications in Cartography And Geographic Information Systems. This visualization helps to understand the diversity of educational backgrounds that contribute to successful PERM applications, reflecting the major’s role in fostering students’ career paths towards permanent residency in the U.S.

According to Cognitive Market Research, the global Digital Maps market size was USD XX million in 2023 and will expand at a compound annual growth rate (CAGR) of XX% from 2024 to 2031.

The global Digital Maps market will expand significantly by XX% CAGR between 2024 to 2031.


North America held the major market of more than XX% of the global revenue with a market size of USD XX million in 2023 and will grow at a compound annual growth rate (CAGR) of XX% from 2024 to 2031.


Europe accounted for a share of over XX% of the global market size of USD XX million.


Asia Pacific held a market of around XX% of the global revenue with a market size of USD XX million in 2023 and will grow at a compound annual growth rate (CAGR) of XX% from 2024 to 2031.


Latin America's market will have more than XX% of the global revenue with a market size of USD XX million in 2023 and will grow at a compound annual growth rate (CAGR) of XX% from 2024 to 2031.


Middle East and Africa held the major market of around XX% of the global revenue with a market size of USD XX million in 2023 and will grow at a compound annual growth rate (CAGR) of XX% from 2024 to 2031.


The Tracking and Telematics segment is set to rise GPS tracking enables fleet managers to monitor their cars around the clock, avoiding expensive problems like speeding and other careless driving behaviors like abrupt acceleration. 


The digital maps market is driven by mobile computing devices that are increasingly used for navigation, and the increased usage of geographic data.


The retail and real estate segment held the highest Digital Maps market revenue share in 2023.

Market Dynamics of Digital Maps:

Key drivers of the Digital Maps Market

Mobile Computing Devices Are Increasingly Used for Navigation leading to market expansion-

Since technology is changing rapidly, two categories of mobile computing devices—tablets and smartphones—are developing and becoming more diverse. One of the newest features accessible in this category is map software, which is now frequently preinstalled on smartphones. Meitrack Group launched the MD500S, a four-channel AI mobile DVR, for the first time in 2022. The MD500S is a 4-channel MDVR with excellent stability that supports DMS, GNSS tracking, video recording, and ADAS. Source- https://www.meitrack.com/ai-mobile-dvr/#:~:text=Mini%204CH%20AI%20Mobile%20DVR,surveillance%20solutions%20that%20uses%20H.

It's no secret that people who own smartphones routinely use built-in mapping apps to find directions and other driving assistance. Furthermore, these individuals use georeferenced data from GPS and GIS apps to find nearby establishments such as cafes, movie theatres, and other sites of interest. Mobile computing devices are now commonly used to acquire accurate 3D spatial information. A personal digital assistant (PDA) is a software agent that uses information from the user's computer, location, and various web sources to accomplish tasks or offer services. Thus, mobile computing devices are increasingly used for navigation leading to market expansion.

The usage of geographic data has increased leading to market expansion-

Since it is used in so many different industries and businesses—including risk and emergency management, infrastructure management, marketing, urban planning, resource management (oil, gas, mining, and other resources), business planning, logistics, and more—geospatial information has seen a boom in recent years. Since location is one of the essential components of context, geo-information also serves as a basis for applications in the future. For example, Atos SE provides services to companies in supply chain management, data centers, infrastructure development, urban planning, risk and emergency management, navigation, and healthcare by utilizing geographic information system (GIS) platforms with location-based services (LBS).

Furthermore, augmented reality-based technologies make use of 3D platforms and GIS data to offer virtual information about people and their environment. Businesses can offer users customized ads by using this information to better understand their needs.Thus, the usage of geographic data has increased leading to market expansion.

Restraints of the Digital Maps Market

Lack of knowledgeable and skilled technicia...

This is a polygon dataset of the strategic noise mapping of rail, which were identified as those rail exceeding the flow threshold of 30,000 vehicle passages per year, in the form of noise contours for the Lden (day, evening, night) period for Dublin and Cork agglomerations and the major roads outside of the agglomerations. The dB value represents the average decibel value during the Lden time. Any direct comparison of the Round 3 versus Round 2 results should be carefully considered, as changes to the model input datasets used between these rounds may be significant. This may especially apply to the terrain model used, while there may be improved building height data, & improved traffic flow data with fewer assumed flows. There may also be some revisions to the actual road network modelled in Round 3. The noise maps are the product of assimilating a collection of digital datasets, and over the last 10 years there has been significant improvements to the quality of the digital datasets describing the natural and built environment in Ireland. This has led to the strategic noise models giving much more reliable noise results with much less tendency to over predict the impact.

This pie chart illustrates the distribution of degrees—Bachelor’s, Master’s, and Doctoral—among PERM graduates from Cartography And Geographical Information System. It shows the educational composition of students who have pursued and successfully obtained permanent residency through their qualifications in Cartography And Geographical Information System. This visualization helps to understand the diversity of educational backgrounds that contribute to successful PERM applications, reflecting the major’s role in fostering students’ career paths towards permanent residency in the U.S.