This hands on GIS exercise discusses the creation of thematic maps with ArcView.

Spatial coverage index compiled by East View Geospatial of set "Germany 1:750,000 Scale Thematic Maps". Source data from BKG (publisher). Type: Thematic - Political and Administrative. Scale: 1:750,000. Region: Europe.

The documents included in this dataset provide information on:a) personal questions given to survey participants (DemographicsQuestionnaire.pdf)b) spatial questions given to participants (SpatialQuestions.pdf)c) the adapted SUS questionnaire (MapUsabilityScale.pdf)d) The dataset of collected participants responses, in the form of a zip archive (3D_printed_map.7z). e) a document with brief guidelines for conducting the survey (Guidelines.docx).f) Finally, the R script (experiment.R) to run the statistical analysis detailed in the paper and to generate Tables 1-4 and the contents of Figure 9 are also included. The R script needs calling the above-mentioned dataset of participants' responses (d), to run effectively.

Datasets- simple_land_cover1.tif - an example land cover dataset presented in Figures 1 and 2- simple_landform1.tif - an example landform dataset presented in Figures 1 and 2- landcover_europe.tif - a land cover dataset with nine categories for Europe - landcover_europe.qml - a QGIS color style for the landcover_europe.tif dataset- landform_europe.tif - a landform dataset with 17 categories for Europe - landform_europe.qml - a QGIS color style for the landform_europe.tif dataset- map1.gpkg - a map of LTs in Europe constructed using the INCOMA-based method- map1.qml - a QGIS color style for the map1.gpkg dataset- map2.gpkg - a map of LTs in Europe constructed using the COMA method to identify and delineate pattern types in each theme separately- map2.qml - a QGIS color style for the map2.gpkg dataset- map3.gpkg - a map of LTs in Europe constructed using the map overlay method- map3.qml - a QGIS color style for the map3.gpkg dataset

This map provides a guide to the data confidence of DPIE's soil related thematic map products in NSW. Examples of products this map supports includes Land and Soil Capability mapping, Inherent fertility of soils in NSW and Great Soil Group soil types in NSW.

Confidence classes are determined based on the data scale, type of mapping and information collected, accuracy of the attributes and quality assurance on the product.

Soil data confidence is described using a 4 class system between high and very low as outlined below.:

• Good (1) - All necessary soil and landscape data is available at a catchment scale (1:100,000 & 1:250,000) to undertake the assessment of LSC and other soil thematic maps.

• Moderate (2) - Most soil and landscape data is available at a catchment scale (1:100,000 - 1:250,000) to undertake the assessment of LSC and other soil thematic maps.

• Low (3) - Limited soil and landscape data is available at a reconnaissance catchment scale (1:100,000 & 1:250,000) which limits the quality of the assessment of LSC and other soil thematic maps.

• Very low (4) - Very limited soil and landscape data is available at a broad catchment scale (1:250,000 - 1:500,000) and the LSC and other soil thematic maps should be used as a guide only.

Online Maps: This dataset can be viewed using eSPADE (NSW’s soil spatial viewer), which contains a suite of soil and landscape information including soil profile data. Many of these datasets have hot-linked soil reports. An alternative viewer is the SEED Map; an ideal way to see what other natural resources datasets (e.g. vegetation) are available for this map area.

Reference: Department of Planning, Industry and Environment, 2020, Soil Data Confidence map for NSW, Version 4, NSW Department of Planning, Industry and Environment, Parramatta.

A thematic map shows the spatial distribution of one or more specific data themes for standard geographic areas. Thematic maps include: Population Age Income Language of work Instruction in the official minority language

Web Map Service to view health care thematic data.

This map draws attention to your thematic content by providing a neutral background with minimal colors, labels, and features. Only key information is represented to provide geographic context, allowing your data to come to the foreground. This light gray map supports any strong colors, creating a visually compelling map graphic which helps your reader see the patterns intended. This map was developed by Esri using HERE data, DeLorme basemap layers, OpenStreetMap contributors, Esri basemap data, and select data from the GIS user community. Worldwide coverage is provided from Level 0 (1:591M scale) through Level 13 (1:72k scale). In North America (Canada, Mexico, United States), Europe, India, South America and Central America, Africa, most of the Middle east, and Australia & New Zealand coverage is provided from Level 14 (1:36k scale) through Level 16 (1:9k scale). For more information on this map, including the terms of use, visit us online.

Map Drawing Services Market Outlook

The global map drawing services market size was valued at approximately $1.2 billion in 2023 and is projected to reach $2.3 billion by 2032, growing at a compound annual growth rate (CAGR) of 7.1% during the forecast period. This growth can be attributed to the increasing demand for precise and customized mapping solutions across various industries such as urban planning, environmental management, and tourism.

One of the primary growth factors of the map drawing services market is the rapid advancement in Geographic Information Systems (GIS) technology. The integration of advanced GIS tools allows for the creation of highly accurate and detailed maps, which are essential for urban planning and environmental management. Additionally, the growing emphasis on smart city initiatives worldwide has led to an increased need for customized mapping solutions to manage urban development and infrastructure efficiently. These technological advancements are not only improving the quality of map drawing services but are also making them more accessible to a broader range of end-users.

Another significant growth factor is the rising awareness and adoption of map drawing services in the tourism sector. Customized maps are increasingly being used to enhance the tourist experience by providing detailed information about destinations, routes, and points of interest. This trend is particularly prominent in regions with rich cultural and historical heritage, where detailed thematic maps can offer tourists a more immersive and informative experience. Furthermore, the digitalization of the tourism industry has made it easier to integrate these maps into various applications, further driving the demand for map drawing services.

Environmental management is another key area driving the growth of the map drawing services market. With the increasing focus on sustainable development and environmental conservation, there is a growing need for accurate maps to monitor natural resources, track changes in land use, and plan conservation efforts. Map drawing services provide essential tools for environmental scientists and policymakers to analyze and visualize data, aiding in better decision-making and management of natural resources. The rising environmental concerns globally are expected to continue driving the demand for these services.

From a regional perspective, North America is anticipated to hold a significant share of the map drawing services market due to the high adoption rate of advanced mapping technologies and the presence of major market players in the region. Furthermore, the region's focus on smart city projects and environmental conservation initiatives is expected to fuel the demand for map drawing services. Meanwhile, the Asia Pacific region is projected to witness the highest growth rate, driven by rapid urbanization, industrialization, and the growing need for efficient infrastructure planning and management.

Service Type Analysis

The map drawing services market is segmented into several service types, including custom map drawing, thematic map drawing, topographic map drawing, and others. Custom map drawing services cater to specific client needs, offering tailored mapping solutions for various applications. This segment is expected to witness significant growth due to the increasing demand for personalized maps in sectors such as urban planning, tourism, and corporate services. Businesses and government agencies are increasingly relying on custom maps to support their operations, leading to the expansion of this segment.

Thematic map drawing services focus on creating maps that highlight specific themes or topics, such as population density, climate patterns, or economic activities. These maps are particularly useful for educational purposes, research, and community planning. The growing emphasis on data-driven decision-making and the need for visual representation of complex datasets are driving the demand for thematic maps. Additionally, thematic maps play a crucial role in public health, disaster management, and policy formulation, contributing to the segment's growth.

Topographic map drawing services offer detailed representations of physical features of a landscape, including elevation, terrain, and landforms. These maps are essential for various applications, such as environmental management, military ope

This layer represents Land use polygons as determined by a combination of analytic techniques, mostly using Landsat 5 image mosaics . BTM 1 was done on a federal satellite image base that was only accurate to about 250m. The images were geo-corrected, not ortho-corrected, so there is distortion in areas of high relief. This is not a multipart feature

We provide a shortcut to the land cover map WMS service provided by the Ministry of Environment's Environmental Spatial Information Service. A land cover map is a type of thematic map, a spatial information DB that classifies the form of surface topographic features according to certain scientific criteria, Color Indexes areas with similar characteristics, and then expresses them in the form of a map. Since land cover maps best reflect the phenomena of the surface, they are widely used in estimating non-point source pollution loads based on surface permeability, urban planning based on biotope map creation, simulation of flood damage to downstream areas when dam water gates are released, climate and atmosphere prediction modeling, environmental impact assessments, etc. They have a status as a scientific basis for establishing environmental policies by the central and local governments, and are used as various research materials in related academic circles. *The concept was established in 1985 by the European Environment Agency (EEA) in the CORINE (Coordination of Information on the Environment) project, a project to build a European land cover map to comprehensively collect and manage vast amounts of information on the land conditions of member states in the EU. Based on this, classification criteria suitable for Korea were determined, and in 1998, the Ministry of Environment built the first large-scale land cover map for the South Korean region.

Maps are often animated to help users make comparisons and comprehend trends. However, large and complex differences between sequential maps can inhibit users from doing so. This paper proposes a morphing technique to highlight trends without manual intervention. Changes between sequential maps are considered as the diffusion processes of expanding classes, with these processes simulated by cellular automata. A skeleton extraction technique is introduced to handle special cases. Experimental results demonstrate that the proposed morphing technique can reveal obvious trends between dramatically changed maps. The potential application of the proposed morphing technique in sequential spatial data (e.g. remote-sensing images) is discussed.

The ubiMap dataset is comprised of 3,530 map images collected from the Bing image search service (1,730 maps) and Geo-Journal (1,800 maps). Each image has been manually labeled with 22 types of map elements, including their boundary shapes and category properties, resulting in an average of 5.92 elements per map. ubiMap-l is built uopon ubiMap by removing maps that contained only one element, which results a total of 3,515 maps for map layout retrieval test. We first opensourced 703 maps in ubiMap-l that we used for testing our map layout representation learning framework, MapLayNet. Besides 703 map images and their layout label data, embedding of MapLayNet and its baseline model is provided along with the python codes for embedding visualizaiton. The dataset will be open access in late 2025.

Catalogue of the thematic maps of Arctic, available from Russian and European sources: Atlases and separate maps

Digital Map Market size was valued at USD 25.9 Billion in 2023 and is poised to grow from USD 28.75 Billion in 2024 to USD 66.16 Billion by 2032, growing at a CAGR of 11% during the forecast period (2025-2032).

The main two products of this data set are (1) an Asia 30-second land cover data set and (2) an Asia 30-second ground truth data set of land cover classes. The purpose to distribute Asia land cover data set is to provide land cover information for global change studies and other global/continental applications. The purpose to distribute ground truth data of land cover classes is to build a better Asian ground truth database by improving coverage and adding new reliable ground truth data of Asia for future application.

The Land Cover Working Group (LCWG) of the Asian Association on Remote Sensing (AARS) prepared the land cover data set. The AARS land cover classification system was developed through discussion with members of the LCWG/AARS and is described in the Methods section of the CD-ROM. A table showing corresponding classes between the LCWG/AARS classification system and IGBP-DIS classification system is provided.

Ground truth data were collected mainly from existing thematic maps by the cooperation of the working group members. The maps used are listed in the documentation. Some of ground truth data were collected by field survey in Central Asia such as Kazakhstan, Uzbekistan and Turkmenistan. Three field trips were performed with the cooperation of WG member of Kazakhstan. Ground truth data of 31 land cover classes were collected from 19 types of information sources (thematic maps or field surveys).

Global land 1-km AVHRR data set was used as the source of satellite data. 10-days composite data of AVHRR NDVI, channel 4 and channel 5 were used for this project. NDVI data from April 1, 1992 to March 31, 1993 and NDVI and land surface temperature (Ts) data from April 1, 1992 to October 31, 1992 were used in the land cover analysis. (See Methods section for discussion of the theoretical support for using the ratio of land surface temperature (Ts) and NDVI in land cover analysis.) The Global Land One-kilometer Base Elevation (GLOBE), Version 1.0, (30 arc-second grid digital elevation data) and the Digital Chart of the World (DCW) data (1:1,000,000 scale vector base map of the world with 17 attibute layers including seashore lines and national boundaries) were used. The following data were prepared for the classification: Ts/NDVI (seven monthly data from April to October 1992); maximum NDVI (the maximum monthly data from April 1992 to March 1993); minimum NDVI (the minimum monthly data from April 1992 to March 1993); and digital elevation data. All these data are registered together in 30-second grid in latitude/longitude.

The land cover classification was done by the following steps: (1) clustering of monthly Ts/NDVI from April to October; (2) finding classification rules for decision tree method; (3) classification by decision tree method; and (4) post-classification modification.

Contribution to add and improve ground truth data is appreciated. It can be sent to Dr. Ryutaro Tateishi (see Data Center Contact information). Contributions should be the following way: (1) digital data or paper map; (2) ground truth data of land cover described either by class code defined in the data set land.htm or by contributor's own land cover class name with its definition; (3) ground truth region covering at least as large as 2.5 minute by 2.5 minute (approximately equivalent to 5 km by 5 km at the equator) in latitude/longitude with a homogeneous land cover type; and (4) four values of latitude/longitude of the north, south, east, and west end of ground truth regions. If you send information of ground truth, it will be included in the Asia ground truth data base as the next product.

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 to build graded suitability maps.

The datasets contain:

• the 10x10 km grid, topographic layers (navigable rivers, railways, paved roads, settlements, and river ports), and semantic description of each unit area of the Novosibirsk region;
• thematic maps (accessibility maps) on navigational rivers, paved roads, railways, river ports, and settlements.

A set of 8 map sheets: 1. Carte 1 : la répartition des principaux types de sol. Scale of 1:4 000. Date of publication: 1967. 2. Carte 2 : la couverture végétale. Scale of 1:4 000. Date of publication: 1967. 3. Carte 3 : le paysage rural. Scale of 1:2 000. Date of publication: 1967. 4. Carte 4 : la distribution foncière des terres cultivées du terroir. Scale of 1:4 000. Date of publication: 1967. 5. Carte 5 : les régimes et le droit foncier. Scale of 1:2 000. Date of publication: 1967. 6. Carte 6 : structures foncières et liens de parenté : carte simplifiée. Scale of 1:4 000. Date of publication: 1967. 7. Carte 7 : les contrastes fonciers. Scale of 1:4 000. Date of publication: 1967. 8. Carte 8 : secteurs et types de cultures. Scale of 1:2 000. Date of publication: 1967.

Digital Maps Market Size And Forecast

Digital Maps Market size was valued at USD 25.95 Billion in 2024 and is projected to reach USD 100.9 Billion by 2031, growing at a CAGR of 18.50% from 2024 to 2031.

Global Digital Maps Market Drivers

Increasing smartphone penetration: The growing number of smartphone users and the widespread availability of internet connectivity have made digital maps easily accessible. Advancements in mapping technology: The development of more accurate and detailed digital maps, incorporating real-time traffic updates and navigation features, has increased their appeal to users. Growth of the ride-sharing and delivery services industry: These industries rely heavily on accurate and up-to-date digital maps for navigation and route optimization.

Global Digital Maps Market Restraints

Data privacy concerns: The collection and use of location data raise privacy concerns, which can hinder the adoption of digital maps. Map inaccuracies: Despite advancements in mapping technology, inaccuracies and errors can still occur, leading to user dissatisfaction. Competition from free mapping services: The availability of free mapping services from tech giants like Google and Apple can limit the market for premium digital mapping solutions.

Web Map Service to view thematic data on technical infrastructure and economy.