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Converting GeoJSON to GPX: A Step-by-Step Guide

This guide outlines an easy-to-follow process for converting GeoJSON files into GPX format using the Converter Tool within MAPOG Map Analysis. Whether you’re a newcomer to MAPOG or already have experience with the platform, this tutorial will guide you through the conversion process smoothly.

What is GeoJSON Data Format:

GeoJSON is a geospatial data format based on JSON (JavaScript Object Notation) used to represent geographic features such as points, lines, and polygons. It stores both spatial data (coordinates) and attribute information, making it widely used for web mapping and data exchange in GIS applications due to its simplicity and compatibility with various platforms.

                                             Online GIS Data Conversion

Converting GeoJSON Data into GPX Format:

MAPOG Map Analysis , Converter Tool simplifies the process of converting data between different formats, tailored to the user’s specific requirements. This functionality enhances the efficiency of adapting data for diverse GIS applications by providing seamless format transformations. For example, when converting GeoJSON data to GPX format using MAPOG’s Converter Tool, the data size is minimized while retaining critical geographic attributes. This makes it ideal for web mapping and interactive use, optimizing workflows and boosting the usability of GIS data across various platforms and applications.

                      Steps to Convert GeoJSON to GPX:

Step 1: Upload Your Data:

  1. Begin by navigating to the top menu, selecting “Process Data,” and then choosing the “Converter Tool” to initiate the conversion process.
Converting GeoJSON to GPX Online
Choose the converter tool

2. To start the conversion, upload your GeoJSON file by selecting the data you want to convert.

Converting GeoJSON to GPX Online
Upload your data

Step 2: Select the Output Format:

  1. In the Converter Tool, you’ll see a range of output format options. Choose GPX as the format you wish to export your data to. Although the tool offers multiple formats for conversion, this guide is specifically designed to help you convert your GeoJSON file into GPX format.
Converting GeoJSON to GPX Online
Select the format

2. You can also Choose the Output Coordinate Reference System (CRS) according to your spatial analysis requirement.

Converting GeoJSON to GPX Online
Set the CRS

Step 3: Execute the Conversion:

Head to the “Convert Files” section within the Converter Tool. Upload your GeoJSON file, and the tool will handle the conversion. It will efficiently transform your GeoJSON file into GPX format, ensuring the process is quick and easy.

Converting GeoJSON to GPX Online
Convert your data

Step 4: Review and Download:

Once the conversion is finished, take a moment to examine your GPX file to confirm that the data has been accurately converted and preserved. Verify that the spatial details and layout are as expected. After ensuring the output meets your standards, go ahead and download the file. This final step ensures the conversion was successful and meets your project requirements.

Converting GeoJSON to GPX Online
Download the data

Conclusion:

MAPOG Map Analysis provides a variety of powerful tools to enhance your workflow. These tools include the Clip Tool for refining datasets, the Basic Style Tool for styling numerical data, and the Create Point Tool for adding point features to your maps. Additionally, the Create Grid Tool offers the capability to generate grids using different data types, adding flexibility and functionality to your GIS projects.

Story by MAPOG:

Story by MAPOG is perfect for users who want to bring their data to life through interactive and visually engaging maps. It allows you to tell powerful stories, blending maps with multimedia elements like images and text. Whether you’re showcasing a project, presenting research, or guiding a tour, Story by MAPOG makes it easy to create shareable content.

 Other Feature Tools contain:

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Download Vegetation Area in Shapefile, KML, KMZ +15 GIS format – Filter and download

GIS Data by MAPOG is a user-friendly platform that provides easy access to a variety of GIS data formats like Shapefile, KML, GeoJSON, and more. It simplifies the process of downloading vegetation area data efficiently, including both administrative and geographic datasets. This makes it an ideal tool for those who need to download vegetation area data for detailed mapping, environmental analysis, and natural resource management.

Key Concept for downloading Vegetation Area

GIS Data by MAPOG makes it easy to download vegetation area data by offering a clear, step-by-step guide to access data for over 200 countries with 900+ layers. The platform supports a wide range of formats such as Shapefile, KML, MID, and others, ensuring compatibility with various GIS tools and software. This flexibility allows users to obtain data tailored to their specific project requirements.

Download Vegetation Area of any countries
Note:
  • All data is available in GCS datum EPSG:4326 WGS84 CRS (Coordinate Reference System).
  • Users must log in to download data in their preferred format.

Step-by-Step Process to Download Vegetation Area Data

Step 2: Search for ‘Vegetation Area Data’

Upon reaching the GIS Data interface, select your desired region. Use the search layer option to find the specific data layer for “vegetation areas“. Review the data attributes, including its format as a point or polygon, to ensure it matches your project needs. For example, you can search specifically for the vegetation area of countries like USA, UK, Canada, Denmark etc.

Download Vegetation Area
Download Vegetation Area
Step 3: Try the AI Feature Tool

To further simplify the search, use the “Try AI” tool located in the upper left corner. Just input what data you need and from which area, and the AI will assist in providing the most relevant results, streamlining the data search process.

Download Vegetation Area
Step 4: Filter Data

Leverage the filter data option to refine your search by selecting specific states or districts. This feature allows for a deeper exploration of the dataset, enabling users to focus on more granular details, such as specific vegetation zones, to improve accuracy and relevance for analysis.

Download Vegetation Area
Step 5: Add on Map

Use the “Add on Map” feature in MAPOG’s GIS Data to overlay the selected data onto the Map analysis interface. This step allows for better visualization of spatial relationships and patterns, supporting comprehensive GIS projects. Users can choose to add the dataset to a new map or integrate it with an existing one.

Download Vegetation Area
Step 6: Download Data

Click on the “Download Data” button and select either a sample or the full dataset, depending on your needs. Choose the desired format—such as Shapefile, KML, GeoJSON, or one of the 15+ supported options. Agree to the terms and conditions, and click the download button again to start the download.

Download Vegetation Area

Conclusion

By using GIS Data by MAPOG, users can easily download vegetation area data in various GIS formats, ensuring access to detailed and current geographic information. This versatility supports numerous applications, from environmental conservation to land management and policy development, making it an essential tool for both GIS professionals and enthusiasts.

With MAPOG’s versatile toolkit, you can effortlessly upload vector and raster filesadd WMS (Web Map Service) layers, upload Excel or CSV data, incorporate existing files, perform polygon splitting and merging, generate new polygon and polyline data, use the converter for various formats, conduct buffer analysiscreate gridstransform points into polygons, calculate isochrones, and utilize the geocoder for precise location information.

For any questions or further assistance, feel free to reach out to us at support@mapog.com. We’re here to help you make the most of your GIS data.

Download Shapefile for the following:

  1. World Countries Shapefile
  2. Australia
  3. Argentina
  4. Austria
  5. Belgium
  6. Brazil
  7. Canada
  8. Denmark
  9. Fiji
  10. Finland
  11. Germany
  12. Greece
  13. India
  14. Indonesia
  15. Ireland
  16. Italy
  17. Japan
  18. Kenya
  19. Lebanon
  20. Madagascar
  21. Malaysia
  22. Mexico
  23. Mongolia
  24. Netherlands
  25. New Zealand
  26. Nigeria
  27. Papua New Guinea
  28. Philippines
  29. Poland
  30. Russia
  31. Singapore
  32. South Africa
  33. South Korea
  34. Spain
  35. Switzerland
  36. Tunisia
  37. United Kingdom Shapefile
  38. United States of America
  39. Vietnam
  40. Croatia
  41. Chile
  42. Norway
  43. Maldives
  44. Bhutan
  45. Colombia
  46. Libya
  47. Comoros
  48. Hungary
  49. Laos
  50. Estonia
  51. Iraq
  52. Portugal
  53. Azerbaijan
  54. Macedonia
  55. Romania
  56. Peru
  57. Marshall Islands
  58. Slovenia
  59. Nauru
  60. Guatemala
  61. El Salvador
  62. Afghanistan
  63. Cyprus
  64. Syria
  65. Slovakia
  66. Luxembourg
  67. Jordan
  68. Armenia
  69. Haiti And Dominican Republic
  70. Malta
  71. Djibouti
  72. East Timor
  73. Micronesia
  74. Morocco
  75. Liberia
  76. Kosovo
  77. Isle Of Man
  78. Paraguay
  79. Tokelau
  80. Palau
  81. Ile De Clipperton
  82. Mauritius
  83. Equatorial Guinea
  84. Tonga
  85. Myanmar
  86. Thailand
  87. New Caledonia
  88. Niger
  89. Nicaragua
  90. Pakistan
  91. Nepal
  92. Seychelles
  93. Democratic Republic of the Congo
  94. China
  95. Kenya
  96. Kyrgyzstan
  97. Bosnia Herzegovina
  98. Burkina Faso
  99. Canary Island
  100. Togo
  101. Israel And Palestine
  102. Algeria
  103. Suriname
  104. Angola
  105. Cape Verde
  106. Liechtenstein
  107. Taiwan
  108. Turkmenistan
  109. Tuvalu
  110. Ivory Coast
  111. Moldova
  112. Somalia
  113. Belize
  114. Swaziland
  115. Solomon Islands
  116. North Korea
  117. Sao Tome And Principe
  118. Guyana
  119. Serbia
  120. Senegal And Gambia
  121. Faroe Islands
  122. Guernsey Jersey
  123. Monaco
  124. Tajikistan
  125. Pitcairn

Disclaimer : The GIS data provided for download in this article was initially sourced from OpenStreetMap (OSM) and further modified to enhance its usability. Please note that the original data is licensed under the Open Database License (ODbL) by the OpenStreetMap contributors. While modifications have been made to improve the data, any use, redistribution, or modification of this data must comply with the ODbL license terms. For more information on the ODbL, please visit OpenStreetMap’s License Page.

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Download Powerline & Powerline Towers in Shapefile, KML , GKPG +15 GIS format – Filter and download

MAPOG is a user-friendly platform that offers access to various GIS Data formats, including Shapefile, KML, and GKPG, for powerlines and towers. It simplifies data download and analysis, supporting tasks like grid planning and maintenance. With coverage across 200+ countries and 900+ layers, the platform supports various GIS tools and applications.

Note:
  • All data is available in GCS datum EPSG:4326 WGS84 CRS (Coordinate Reference System).
  • Users must log in to download data in their preferred format.

Step-by-step Process to Download Powerline & Powerline Towers Data

Step 1: Open GIS Data

Begin by logging into MAPOG with a valid email address. After logging in, proceed to the GIS data section to get started.

Download Powerline & Powerline Towers
Step 2: Search for ‘Powerline & Powerline Towers Data’

Once you reach the GIS Data interface, choose the specific country you’re interested in. Use the search layer option to find data related to “Powerline & Powerline Towers.” Review the data attributes to confirm the format, such as whether it is represented as a point or polygon.

Download Powerline & Powerline Towers
Download Powerline & Powerline Towers Data
Step 3: “Try AI” Feature Tool

Utilize the “Try AI” feature, positioned in the upper left corner, to streamline your data search. Input the specific data you need and the area of interest, and the tool will promptly display the relevant datasets.

Download Powerline & Powerline Towers
Step 4: Filter Data

Make use of the filter data option in GIS Data by MAPOG to fine-tune your search by state or district. This feature enables users to drill down into the country-wide datasets to find precise details, enhancing the accuracy and relevance of powerline data for targeted mapping or analysis.

Download Powerline & Powerline Towers
Step 5: Add on Map

The “Add on Map” feature in GIS Data by MAPOG allows users to overlay selected data directly onto the Map analysis interface. This option supports deeper insights into spatial relationships and patterns, enabling users to add the dataset to a new or existing map and enrich their GIS projects.

Download Powerline & Powerline Towers
Step 6: Download Data

Click on the “Download Data” button, where you can choose to download either a sample dataset or the full data. From the available format options, select the one you need—such as Shapefile, KML, GeoJSON, or any of the other 15+ formats. Agree to the terms and conditions, and click the download button to complete the process.

Download Powerline & Powerline Towers

Conclusion

GIS Data by MAPOG provides an efficient way to download powerline & powerline towers data in multiple GIS formats, offering comprehensive and up-to-date geographic information. This functionality is invaluable for applications such as power grid planning, infrastructure management, and policy development, catering to the needs of GIS professionals and data enthusiasts alike.

With MAPOG’s versatile toolkit, you can effortlessly upload vector and raster filesadd WMS (Web Map Service) layers, upload Excel or CSV data, incorporate existing files, perform polygon splitting and merging, generate new polygon and polyline data, use the converter for various formats, conduct buffer analysiscreate gridstransform points into polygons, calculate isochrones, and utilize the geocoder for precise location information.

For any questions or further assistance, feel free to reach out to us at support@mapog.com. We’re here to help you make the most of your GIS data.

Download Shapefile for the following:

  1. World Countries Shapefile
  2. Australia
  3. Argentina
  4. Austria
  5. Belgium
  6. Brazil
  7. Canada
  8. Denmark
  9. Fiji
  10. Finland
  11. Germany
  12. Greece
  13. India
  14. Indonesia
  15. Ireland
  16. Italy
  17. Japan
  18. Kenya
  19. Lebanon
  20. Madagascar
  21. Malaysia
  22. Mexico
  23. Mongolia
  24. Netherlands
  25. New Zealand
  26. Nigeria
  27. Papua New Guinea
  28. Philippines
  29. Poland
  30. Russia
  31. Singapore
  32. South Africa
  33. South Korea
  34. Spain
  35. Switzerland
  36. Tunisia
  37. United Kingdom Shapefile
  38. United States of America
  39. Vietnam
  40. Croatia
  41. Chile
  42. Norway
  43. Maldives
  44. Bhutan
  45. Colombia
  46. Libya
  47. Comoros
  48. Hungary
  49. Laos
  50. Estonia
  51. Iraq
  52. Portugal
  53. Azerbaijan
  54. Macedonia
  55. Romania
  56. Peru
  57. Marshall Islands
  58. Slovenia
  59. Nauru
  60. Guatemala
  61. El Salvador
  62. Afghanistan
  63. Cyprus
  64. Syria
  65. Slovakia
  66. Luxembourg
  67. Jordan
  68. Armenia
  69. Haiti And Dominican Republic
  70. Malta
  71. Djibouti
  72. East Timor
  73. Micronesia
  74. Morocco
  75. Liberia
  76. Kosovo
  77. Isle Of Man
  78. Paraguay
  79. Tokelau
  80. Palau
  81. Ile De Clipperton
  82. Mauritius
  83. Equatorial Guinea
  84. Tonga
  85. Myanmar
  86. Thailand
  87. New Caledonia
  88. Niger
  89. Nicaragua
  90. Pakistan
  91. Nepal
  92. Seychelles
  93. Democratic Republic of the Congo
  94. China
  95. Kenya
  96. Kyrgyzstan
  97. Bosnia Herzegovina
  98. Burkina Faso
  99. Canary Island
  100. Togo
  101. Israel And Palestine
  102. Algeria
  103. Suriname
  104. Angola
  105. Cape Verde
  106. Liechtenstein
  107. Taiwan
  108. Turkmenistan
  109. Tuvalu
  110. Ivory Coast
  111. Moldova
  112. Somalia
  113. Belize
  114. Swaziland
  115. Solomon Islands
  116. North Korea
  117. Sao Tome And Principe
  118. Guyana
  119. Serbia
  120. Senegal And Gambia
  121. Faroe Islands
  122. Guernsey Jersey
  123. Monaco
  124. Tajikistan
  125. Pitcairn

Disclaimer : The GIS data provided for download in this article was initially sourced from OpenStreetMap (OSM) and further modified to enhance its usability. Please note that the original data is licensed under the Open Database License (ODbL) by the OpenStreetMap contributors. While modifications have been made to improve the data, any use, redistribution, or modification of this data must comply with the ODbL license terms. For more information on the ODbL, please visit OpenStreetMap’s License Page.

Here are some blogs you might be interested in:

Download Political Boundary Data in Shapefile, KML, MID +15 GIS Formats

GIS Data by MAPOG is a user-friendly platform that provides seamless access to various GIS data formats, including Shapefile, KML, MID, and GeoJSON. Whether for research, mapping, or planning, users can effortlessly download political boundary data and other geographic datasets. The platform simplifies the process with step-by-step guidance, offering precise and reliable data for over 200 countries.

Political boundary data represents the borders of administrative divisions such as countries, states, and districts. This information is crucial for spatial analysis, policymaking, and resource allocation.

Download Political Boundary data of any countries

Note:
  • All data is provided in GCS datum EPSG:4326 WGS84 CRS (Coordinate Reference System).
  • Users need to log in to access and download their preferred data formats.

Step-by-Step Guide to Access and Download Political Boundary Data

Step 1: Locate Political Boundary Data

Log in to GIS Data by MAPOG and navigate to the search layer option. Choose the country you want data from and search for “Political Boundary.” The tool displays details like data attributes, geometry types (points or polygons), and more.

Download Political Boundary data
Step 2: Use the AI Assistance Tool

The “Try AI” tool is your smart assistant. Simply input your desired data and area—for example, “state boundaries in Asia”—and let the AI retrieve the relevant dataset.

Step 3: Filter for Precision

The filter option refines your results by narrowing the focus to specific states, districts, or administrative divisions. This ensures you get highly relevant data for detailed analysis.

Step 4: Add to Map

The “Add on Map” feature lets you overlay political boundary data onto an analysis map. You can add it to an existing project or start a new one. This visualization helps in identifying spatial relationships and patterns effectively.

Step 5: Download in Preferred Format

Click the “Download Data” button to choose between sample or full datasets. Select from a variety of formats like Shapefile, KML, GeoJSON, or others. Accept the terms and conditions, and download your data effortlessly.

Conclusion

Downloading political boundary data with GIS Data by MAPOG is simple and efficient. With its intuitive interface and advanced tools, you can access accurate, up-to-date information tailored to your needs. Whether for analysis, policymaking, or visualization, this platform empowers GIS users with comprehensive data solutions.

With MAPOG’s versatile toolkit, you can effortlessly upload vector and upload Excel or CSV data, incorporate existing layers, perform polyline splitting, use the converter for various formats, calculate isochrones, and utilize the Export Tool.

For any questions or further assistance, feel free to reach out to us at support@mapog.com. We’re here to help you make the most of your GIS data.

Download Shapefile for the following:

  1. World Countries Shapefile
  2. Australia
  3. Argentina
  4. Austria
  5. Belgium
  6. Brazil
  7. Canada
  8. Denmark
  9. Fiji
  10. Finland
  11. Germany
  12. Greece
  13. India
  14. Indonesia
  15. Ireland
  16. Italy
  17. Japan
  18. Kenya
  19. Lebanon
  20. Madagascar
  21. Malaysia
  22. Mexico
  23. Mongolia
  24. Netherlands
  25. New Zealand
  26. Nigeria
  27. Papua New Guinea
  28. Philippines
  29. Poland
  30. Russia
  31. Singapore
  32. South Africa
  33. South Korea
  34. Spain
  35. Switzerland
  36. Tunisia
  37. United Kingdom Shapefile
  38. United States of America
  39. Vietnam
  40. Croatia
  41. Chile
  42. Norway
  43. Maldives
  44. Bhutan
  45. Colombia
  46. Libya
  47. Comoros
  48. Hungary
  49. Laos
  50. Estonia
  51. Iraq
  52. Portugal
  53. Azerbaijan
  54. Macedonia
  55. Romania
  56. Peru
  57. Marshall Islands
  58. Slovenia
  59. Nauru
  60. Guatemala
  61. El Salvador
  62. Afghanistan
  63. Cyprus
  64. Syria
  65. Slovakia
  66. Luxembourg
  67. Jordan
  68. Armenia
  69. Haiti And Dominican Republic
  70. Malta
  71. Djibouti
  72. East Timor
  73. Micronesia
  74. Morocco
  75. Liberia
  76. Kosovo
  77. Isle Of Man
  78. Paraguay
  79. Tokelau
  80. Palau
  81. Ile De Clipperton
  82. Mauritius
  83. Equatorial Guinea
  84. Tonga
  85. Myanmar
  86. Thailand
  87. New Caledonia
  88. Niger
  89. Nicaragua
  90. Pakistan
  91. Nepal
  92. Seychelles
  93. Democratic Republic of the Congo
  94. China
  95. Kenya
  96. Kyrgyzstan
  97. Bosnia Herzegovina
  98. Burkina Faso
  99. Canary Island
  100. Togo
  101. Israel And Palestine
  102. Algeria
  103. Suriname
  104. Angola
  105. Cape Verde
  106. Liechtenstein
  107. Taiwan
  108. Turkmenistan
  109. Tuvalu
  110. Ivory Coast
  111. Moldova
  112. Somalia
  113. Belize
  114. Swaziland
  115. Solomon Islands
  116. North Korea
  117. Sao Tome And Principe
  118. Guyana
  119. Serbia
  120. Senegal And Gambia
  121. Faroe Islands
  122. Guernsey Jersey
  123. Monaco
  124. Tajikistan
  125. Pitcairn

Disclaimer : The GIS data provided for download in this article was initially sourced from OpenStreetMap (OSM) and further modified to enhance its usability. Please note that the original data is licensed under the Open Database License (ODbL) by the OpenStreetMap contributors. While modifications have been made to improve the data, any use, redistribution, or modification of this data must comply with the ODbL license terms. For more information on the ODbL, please visit OpenStreetMap’s License Page.

Here are some blogs you might be interested in:

Download School Data in Shapefile, KML, GeoJSON + 15 GIS Formats

You can easily download school data in formats like Shapefile, KML, GeoJSON, and more. Whether you’re a GIS professional, urban planner, or researcher, having accurate school data from countries like the US, France, and Japan can significantly enhance your projects.

School data is vital for projects involving educational planning, infrastructure development, or demographic analysis. In this guide, we’ll walk you through how to download school data in various GIS formats using the MAPOG GISDATA platform—a user-friendly tool that simplifies the process of finding and converting data.

Download Schools Dataset

To support different project needs, we offer a variety of data formats. These include KML, SHP, CSV, GeoJSON, Tab, SQL, Tiff, GML, KMZ, GPKZ, SQLITE, Dxf, MIF, TOPOJSON, XLSX, GPX, ODS, MID, and GPS.

Steps to Download Schools Data

Step 1: Open MAPOG GISDATA and Search for the Country

Begin by accessing the MAPOG GISDATA platform. Type the name of the country you need school data for, such as the United States, France, or Japan, into the search bar. This will help you quickly locate the relevant educational data.

Download School Data in Shapefile, KML, GeoJSON + 15 GIS Formats
Step 1: Open MAPOG GISDATA and Search for the Country
Step 2: Use the AI Search Tool to Find School Districts

MAPOG’s AI search tool helps narrow down your options. For instance, if you’re looking for school data in the USA, you can enter “California school districts” or “New York City schools.” The AI will then locate the appropriate data for you, saving time and effort.

Download School Data in Shapefile, KML, GeoJSON + 15 GIS Formats
Step 2: Use the AI Search Tool to Find School Districts
Step 3: Search for ‘School Data’ and Filter the Layers

Enter “School” in the search bar to bring up data related to schools, such as locations or district boundaries. You can further refine your results using the “View Filtered Layer Data” option to focus on specific details. Select “Zoom to Action” to closely examine the data and ensure it meets your needs.

Step 3: Search for ‘School Data’ and Filter the Layers
Step 3: Search for ‘School Data’ and Filter the Layers
Step 4: Add the Data to the Map for Visual Analysis

After selecting the school data, click “Add to Map.” This allows you to see the data directly on the map, where you can zoom in and explore individual schools in more detail.

Step 4: Add the Data to the Map for Visual Analysis
Step 4: Add the Data to the Map for Visual Analysis
Step 5: Download the Data

Once you’ve reviewed the data, click “Download.” Choose your preferred format—such as Shapefile, KML, or GeoJSON—and download the data for your project.

Download School Data in Shapefile, KML, GeoJSON + 15 GIS Formats
Step 5: Download the Data

Conclusion

The MAPOG GISDATA platform makes it easy to find and download school data. Whether you’re involved in educational planning, infrastructure projects, or research, following these simple steps will help you obtain the data you need in the right format. For any assistance, feel free to reach out to us at support@mapog.com.

With MAPOG’s versatile toolkit, you can effortlessly upload vector and raster filesadd WMS (Web Map Service) layers, upload Excel or CSV data, incorporate existing files, perform polygon splitting and merging, generate new polygon and polyline data, use the converter for various formats, conduct buffer analysiscreate gridstransform po

Disclaimer: The GIS data provided for download in this article was initially sourced from OpenStreetMap (OSM) and further modified to enhance its usability. Please note that the original data is licensed under the Open Database License (ODbL) by the OpenStreetMap contributors. While modifications have been made to improve the data, any use, redistribution, or modification of this data must comply with the ODbL license terms. For more information on the ODbL, please visit OpenStreetMap’s License Page.

Download Shapefile for the following:

  1. World Countries Shapefile
  2. Australia
  3. Argentina
  4. Austria
  5. Belgium
  6. Brazil
  7. Canada
  8. Denmark
  9. Fiji
  10. Finland
  11. Germany
  12. Greece
  13. India
  14. Indonesia
  15. Ireland
  16. Italy
  17. Japan
  18. Kenya
  19. Lebanon
  20. Madagascar
  21. Malaysia
  22. Mexico
  23. Mongolia
  24. Netherlands
  25. New Zealand
  26. Nigeria
  27. Papua New Guinea
  28. Philippines
  29. Poland
  30. Russia
  31. Singapore
  32. South Africa
  33. South Korea
  34. Spain
  35. Switzerland
  36. Tunisia
  37. United Kingdom Shapefile
  38. United States of America
  39. Vietnam
  40. Croatia
  41. Chile
  42. Norway
  43. Maldives
  44. Bhutan
  45. Colombia
  46. Libya
  47. Comoros
  48. Hungary
  49. Laos
  50. Estonia
  51. Iraq
  52. Portugal
  53. Azerbaijan
  54. Macedonia
  55. Romania
  56. Peru
  57. Marshall Islands
  58. Slovenia
  59. Nauru
  60. Guatemala
  61. El Salvador
  62. Afghanistan
  63. Cyprus
  64. Syria
  65. Slovakia
  66. Luxembourg
  67. Jordan
  68. Armenia
  69. Haiti And Dominican Republic
  70. Malta
  71. Djibouti
  72. East Timor
  73. Micronesia
  74. Morocco
  75. Liberia
  76. Kosovo
  77. Isle Of Man
  78. Paraguay
  79. Tokelau
  80. Palau
  81. Ile De Clipperton
  82. Mauritius
  83. Equatorial Guinea
  84. Tonga
  85. Myanmar
  86. Thailand
  87. New Caledonia
  88. Niger
  89. Nicaragua
  90. Pakistan
  91. Nepal
  92. Seychelles
  93. Democratic Republic of the Congo
  94. China
  95. Kenya
  96. Kyrgyzstan
  97. Bosnia Herzegovina
  98. Burkina Faso
  99. Canary Island
  100. Togo
  101. Israel And Palestine
  102. Algeria
  103. Suriname
  104. Angola
  105. Cape Verde
  106. Liechtenstein
  107. Taiwan
  108. Turkmenistan
  109. Tuvalu
  110. Ivory Coast
  111. Moldova
  112. Somalia
  113. Belize
  114. Swaziland
  115. Solomon Islands
  116. North Korea
  117. Sao Tome And Principe
  118. Guyana
  119. Serbia
  120. Senegal And Gambia
  121. Faroe Islands
  122. Guernsey Jersey
  123. Monaco
  124. Tajikistan
  125. Pitcairn

Disclaimer : If you find any shapefile data of country provided is incorrect do contact us or comment below, so that we will correct the same in our system as well we will try to correct the same in openstreetmap.

Download Hospital Data in Shapefile, KML, GeoJSON, and More – Filter and Download

MAPOG is a powerful tool that allows you to find and download hospital data for use in various mapping projects. This data can help plan healthcare infrastructure, analyze medical accessibility, and explore healthcare locations. In this guide, we will walk you through the process of downloading hospital data from MAPOG in different formats.

GIS Data is a specialized type of data that allows you to visualize and analyze geographic locations on a map. With MAPOG, you can access GIS data about hospitals, view their exact locations, and download it in various file formats to support your research or projects. MAPOG also lets you filter hospital data by region, making it easy to locate and download the specific GIS data you need for your analysis.

Note:

  • All data provided by MAPOG is in the GCS datum EPSG:4326 WGS84 CRS (Coordinate Reference System).
  • To download data in shapefile format, you will need to log in to the platform.

Hospital data is important for many sectors. It helps patients locate medical facilities, assists governments in planning healthcare infrastructure, and supports researchers in understanding healthcare accessibility. MAPOG’s GIS Data feature lets you download hospital information in a wide range of file types such as KML, SHP, CSV, GeoJSON, Tab, SQL, Tiff, GML, KMZ, GPKZ, SQLITE, DXF, MIF, TOPOJSON, XLSX, GPX, ODS, MID, and GPS. These formats are compatible with many programs, allowing flexibility in your work.

Step-by-Step Guide to Download Hospital Data

Step 1: Open GIS Data

Log in to MAPOG using your email. Once logged in, open the GIS Data tool. This can be found in the top navigation menu. Search for the ‘hospital data’ or select it from the available categories like hospital data for countries such as the USA, Canada, Brazil, and India.

Step 2: Select the Country and Search ‘Hospital Data’
Select your country of interest.

If you’re unsure which data to choose then the “Try AI” feature can offer smart suggestions to help you find the right information.

Step 3: Filter the Data
Use the available filters to refine the data and You can select specific regions, types of hospital, or other criteria to get the exact information you need for your project.

Step 4: Add on Map

Once you’ve filtered the data, add it to your map to visualize the hospital locations. This step helps you see exactly where the hospitals are situated.

Step 5: Download the Data

After reviewing the map, click the download button. You can choose from various formats depending on your project needs.

Hospital data includes point, line and polygon features. Point data represents the exact location of each hospital, while polygon data can show the hospital’s property boundaries. These features provide detailed information for creating accurate maps and analyses of healthcare accessibility and infrastructure planning.

Discover the MAPOG’s Map Analysis  tool, allowing you to effortlessly, Upload vector and raster files, Add WMS (Web Map Service) layers, Import Excel or CSV data, Merge and split polygons, Create new polygon and polyline data, Convert between various formats, Perform buffer analysis, Generate grids, Transform points to polygons, Calculate isochrones and support the geocoder for accurate location data.

For more information or assistance with downloading Forest data, please contact us at support@mapog.com.

Disclaimer:

The GIS data provided for download in this article was initially sourced from OpenStreetMap (OSM) and further modified to enhance its usability. Please note that the original data is licensed under the Open Database License (ODbL) by the OpenStreetMap contributors. While modifications have been made to improve the data, any use, redistribution, or modification of this data must comply with the ODbL license terms. For more information on the ODbL, please visit OpenStreetMap’s License Page.

Download Parking data in Shapefile, KML, MIF +15 GIS format – Filter and download

GIS Data by MAPOG is a versatile platform designed to provide users with easy access to various GIS Data formats, including Shapefile, KML, GeoJSON, and many more. It offers a user-friendly interface for downloading administrative and geographic datasets, allowing users to effortlessly download parking data and utilize it for their specific needs.

The platform provides a wide range of data formats, including KML, SHP, CSV, GeoJSON, Tab, SQL, Tiff, GML, KMZ, GPKZ, SQLITE, Dxf, MIF, TOPOJSON, XLSX, GPX, ODS, MID, and GPS, ensuring compatibility and accessibility for various applications and analyses. With over 900+ layers covering 200+ countries, this platform simplifies the process by offering a step-by-step guide to help users quickly access the parking data needed for analysis, planning, or mapping.

Note:
All data is available in GCS datum EPSG:4326 WGS84 CRS (Coordinate Reference System).

Users must log in to download data in the desired format.

Step-by-Step Process to Download Parking Data

Step 1: Open GIS Data

After successfully logging in, navigate to the GIS Data section.

Download Parking data
Step 2: Search for ‘Parking Data’

Use the search function or browse through the “Parking data” category to find specific datasets. You can view the dataset attributes, such as data type (point or polygon) and other key details. To streamline the data-finding process, use the “Try AI” tool by describing the desired data and area; the tool will provide the relevant information swiftly.

Download Parking data
Download Parking Data
Step 3: Filter Data

To refine your search further, use the filter data option to specify states and districts. This functionality enables users to access more granular geographic data, ensuring they find the most accurate and relevant information for their targeted analysis or mapping projects.

Download Parking data
Step 4: Add on Map

Utilize the “Add on Map” feature to overlay the selected parking data onto a new or existing map in Map analysis for more in-depth analysis. This option enhances the visualization of spatial relationships and patterns, aiding in better decision-making for GIS projects.

Download Parking data
Step 5: Download Data

Finally, click on the “Download Data” button. Choose between downloading a sample or the complete dataset, depending on your needs. Select your preferred format—such as Shapefile, KML, GeoJSON, or another from the 15+ supported formats—then agree to the terms and conditions. Click the download button again, and your parking data will be ready for use.

Download Parking data

Conclusion

Downloading parking data in various GIS formats from GIS Data by MAPOG is straightforward and efficient, thanks to the platform’s step-by-step guidance. Users can access accurate and comprehensive geographical data in multiple formats, providing them with the flexibility needed for diverse applications in planning, mapping, and analysis.

With MAPOG’s versatile toolkit, you can effortlessly upload vector and raster filesadd WMS (Web Map Service) layers, upload Excel or CSV data, incorporate existing files, perform polygon splitting and merging, generate new polygon and polyline data, use the converter for various formats, conduct buffer analysiscreate gridstransform points into polygons, calculate isochrones, and utilize the geocoder for precise location information.

For any questions or further assistance, feel free to reach out to us at support@mapog.com. We’re here to help you make the most of your GIS data.

Download Shapefile for the following:

  1. World Countries Shapefile
  2. Australia
  3. Argentina
  4. Austria
  5. Belgium
  6. Brazil
  7. Canada
  8. Denmark
  9. Fiji
  10. Finland
  11. Germany
  12. Greece
  13. India
  14. Indonesia
  15. Ireland
  16. Italy
  17. Japan
  18. Kenya
  19. Lebanon
  20. Madagascar
  21. Malaysia
  22. Mexico
  23. Mongolia
  24. Netherlands
  25. New Zealand
  26. Nigeria
  27. Papua New Guinea
  28. Philippines
  29. Poland
  30. Russia
  31. Singapore
  32. South Africa
  33. South Korea
  34. Spain
  35. Switzerland
  36. Tunisia
  37. United Kingdom Shapefile
  38. United States of America
  39. Vietnam
  40. Croatia
  41. Chile
  42. Norway
  43. Maldives
  44. Bhutan
  45. Colombia
  46. Libya
  47. Comoros
  48. Hungary
  49. Laos
  50. Estonia
  51. Iraq
  52. Portugal
  53. Azerbaijan
  54. Macedonia
  55. Romania
  56. Peru
  57. Marshall Islands
  58. Slovenia
  59. Nauru
  60. Guatemala
  61. El Salvador
  62. Afghanistan
  63. Cyprus
  64. Syria
  65. Slovakia
  66. Luxembourg
  67. Jordan
  68. Armenia
  69. Haiti And Dominican Republic
  70. Malta
  71. Djibouti
  72. East Timor
  73. Micronesia
  74. Morocco
  75. Liberia
  76. Kosovo
  77. Isle Of Man
  78. Paraguay
  79. Tokelau
  80. Palau
  81. Ile De Clipperton
  82. Mauritius
  83. Equatorial Guinea
  84. Tonga
  85. Myanmar
  86. Thailand
  87. New Caledonia
  88. Niger
  89. Nicaragua
  90. Pakistan
  91. Nepal
  92. Seychelles
  93. Democratic Republic of the Congo
  94. China
  95. Kenya
  96. Kyrgyzstan
  97. Bosnia Herzegovina
  98. Burkina Faso
  99. Canary Island
  100. Togo
  101. Israel And Palestine
  102. Algeria
  103. Suriname
  104. Angola
  105. Cape Verde
  106. Liechtenstein
  107. Taiwan
  108. Turkmenistan
  109. Tuvalu
  110. Ivory Coast
  111. Moldova
  112. Somalia
  113. Belize
  114. Swaziland
  115. Solomon Islands
  116. North Korea
  117. Sao Tome And Principe
  118. Guyana
  119. Serbia
  120. Senegal And Gambia
  121. Faroe Islands
  122. Guernsey Jersey
  123. Monaco
  124. Tajikistan
  125. Pitcairn

Disclaimer : The GIS data provided for download in this article was initially sourced from OpenStreetMap (OSM) and further modified to enhance its usability. Please note that the original data is licensed under the Open Database License (ODbL) by the OpenStreetMap contributors. While modifications have been made to improve the data, any use, redistribution, or modification of this data must comply with the ODbL license terms. For more information on the ODbL, please visit OpenStreetMap’s License Page.

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Online GIS Converter – KMZ to CSV

KMZ to CSV using MAPOG, you can transform gis data, making it easier to analyze, share, and integrate into various GIS applications.

In this guide, we’ll walk you through how to efficiently convert your KMZ files to CSV using the powerful Converter Tool in MAPOG Map Analysis. Whether you’re a beginner or an experienced user, Converting KMZ to CSV with MAPOG, this tutorial will help you understand the process in easy steps.

Key Concept of Converting files

The Converter Tool is a feature in MAPOG Map Analysis that helps you change your data from one format to another. It’s like magic! You give it your data in one form, and it transforms it into another form that you need for your analysis. Additionally, with GIS Data, you can download data in any format, making it versatile and adaptable for various applications.

Online KMZ to CSV GIS Converter

Now, let’s walk through the simple steps of using the Converter Tool to Converting KMZ to CSV with MAPOG.

Step 1: Upload the Data

1. Click on the “Process Data” menu and choose the “Converter Tool” option.

2.Upload your KMZ file. This is your starting point where you provide the data that needs conversion.

Step 2: Select the Format for Conversion

1.Choose the output file format as CSV. The tool offers various formats, but for this guide, we are focusing on converting to CSV.

2.You can also set the CRS at this stage.

Step 3: Run the Conversion

Click ‘Convert’ and let the tool work its magic. The Converter Tool processes your data, transforming it from KMZ to CSV format.

Step 4: Review and Download

Finally, review your converted CSV data to ensure it looks right. Once satisfied, download the converted file. This step is crucial to verify that the conversion has been successful and the data integrity is maintained.

And there you have it! You’ve successfully used the Converter Tool in MAPOG Map Analysis to convert your KMZ files to CSV. Now you can easily convert your data for all your analysis needs. This feature simplifies the process of handling different data formats, making your workflow more efficient and effective.

Explore Our Other Blogs

  1. TopoJSON to KMZ
  2. GML to TopoJSON
  3. GML to GeoJSON
  4. KMZ to KML
  5. GML to KML
  6. GML to KMZ
  7. KMZ to GML
  8. TopoJSON to KML
  9. GeoJSON to CSV
  10. GeoJSON to TopoJSON
  11. TopoJSON to GML
  12. KMZ to MIF

Converting GML to PDF | Online GIS Format Converter

In this guide, we’ll walk you through how to efficiently convert your GML files to PDF using the powerful Converter Tool in MAPOG Map Analysis. Whether you’re a beginner or an experienced user, Converting GML to PDF with MAPOG, this tutorial will help you understand the process in easy steps.

Key Concept to Converting files

The Converter Tool is a feature in MAPOG Map Analysis that helps you change your data from one format to another. It’s like magic! You give it your data in one form, and it transforms it into another form that you need for your analysis. Additionally, with GIS Data, you can download data in any format, making it versatile and adaptable for various applications.

Converting GML to PDF

Step 1: Upload the Data

1. Click on the “Process Data” menu and choose the “Converter Tool” option.

2. Upload your GML file. This is your starting point where you provide the data that needs conversion.

Step 2: Select the Format for Conversion

1. Choose the output file format as PDF. The tool offers various formats, but for this guide, we are focusing on converting to PDF.

2.You can also set the CRS at this stage.

Step 3: Run the Conversion

Click ‘Convert’ and let the tool work its magic. The Converter Tool processes your data, transforming it from GML to PDF format.

Step 4: Review and Download

Finally, review your converted PDF data to ensure it looks right. Once satisfied, download the converted file. This step is crucial to verify that the conversion has been successful and the data integrity is maintained.

And there you have it! You’ve successfully used the Converter Tool in MAPOG Map Analysis to convert your GML Files to PDF. Now you can easily convert your data for all your analysis needs. This feature simplifies the process of handling different data formats, making your workflow more efficient and effective.

Download Cities, Towns & Villages Data in Shapefile, KML, GeoJSON + 15 GIS Formats

You can quickly download town and city data in formats like Shapefile, KML, GeoJSON, and more. Whether you’re a GIS professional, urban planner, or researcher, detailed data from countries like the US, France, and Japan will boost your projects.

Accurate and up-to-date town, villages and city data is important for projects like urban planning, infrastructure development, and demographic studies. In this article, we’ll show you how to download Cities and Towns data in multiple GIS formats using the MAPOG GISDATA platform—a powerful tool that makes finding and converting data super easy.

Download Cities, Towns & Villages Dataset

We offer a wide range of data formats to ensure compatibility for various projects. These formats include KML, SHP, CSV, GeoJSON, Tab, SQL, Tiff, GML, KMZ, GPKZ, SQLITE, Dxf, MIF, TOPOJSON, XLSX, GPX, ODS, MID, and GPS.


Steps to Download Cities, Towns & Villages Data

Step 1: Open MAPOG GISDATA and Search for the Country

Start by opening the MAPOG GISDATA platform. In the search bar, type the name of the country you need town and city data for, like the United States, France, or Japan. This will help you find the relevant urban data quickly.

Download Cities, Towns & Villages Data in Shapefile, KML, GeoJSON + 15 GIS Formats

Open MAPOG GISDATA and Search for the Country
Step 2: Use the AI Search Tool to Find USA Counties or States

MAPOG’s AI search tool is a great way to narrow your search. For example, if you’re looking for specific data within the USA, you can type something like “California counties” or “New York state.” The AI tool will find the relevant data for those areas, saving you time.

Download Cities, Towns & Villages Data in Shapefile, KML, GeoJSON + 15 GIS Formats
Use the AI Search Tool to Find USA Counties or States
Step 3: Search for ‘Town and City Data’ and Filter the Layers

In the search bar, type “Town” or “City” to pull up urban data such as city boundaries or town limits. You can refine your search by using the “View Filtered Layer Data” option to zoom in on specific features. Click “Zoom to Action” to view the data in detail and ensure it fits your needs

Download Cities, Towns & Villages Data in Shapefile, KML, GeoJSON + 15 GIS Formats
Search for ‘Town and City Data’ and Filter the Layers
Step 4: Add the Data to the Map for Visual Analysis

Once you’ve selected the town or city data, click “Add to Map.” This will allow you to visualize the data directly on the map. You can zoom in and explore specific towns or cities in more detail.

Add the Data to the Map for Visual Analysis
Add the Data to the Map for Visual Analysis
Step 5: Download the Data

After reviewing the data, simply click “Download.” You can choose your preferred format—Shapefile, KML, GeoJSON, or any of the other available formats—and download the data for your project.

Download the Data
Download the Data

Conclusion

The MAPOG GISDATA platform makes accessing and downloading town and city data quick and easy. Whether you’re working on urban planning, infrastructure projects, or research, these simple steps will help you get the data you need in the format that works best for you. If you need assistance, feel free to contact us at support@mapog.com.

With MAPOG’s powerful tools, you can also upload vector and raster files, add WMS layers, import Excel or CSV data, and even convert different data formats to suit your needs.

Disclaimer: The GIS data provided for download in this article was originally sourced from OpenStreetMap (OSM) and modified to improve usability. The original data is licensed under the Open Database License (ODbL) by the OpenStreetMap contributors. Any use, redistribution, or modification of this data must comply with the ODbL license terms. For more information, please visit OpenStreetMap’s License Page.

Download Shapefile for the following:

  1. World Countries Shapefile
  2. Australia
  3. Argentina
  4. Austria
  5. Belgium
  6. Brazil
  7. Canada
  8. Denmark
  9. Fiji
  10. Finland
  11. Germany
  12. Greece
  13. India
  14. Indonesia
  15. Ireland
  16. Italy
  17. Japan
  18. Kenya
  19. Lebanon
  20. Madagascar
  21. Malaysia
  22. Mexico
  23. Mongolia
  24. Netherlands
  25. New Zealand
  26. Nigeria
  27. Papua New Guinea
  28. Philippines
  29. Poland
  30. Russia
  31. Singapore
  32. South Africa
  33. South Korea
  34. Spain
  35. Switzerland
  36. Tunisia
  37. United Kingdom Shapefile
  38. United States of America
  39. Vietnam
  40. Croatia
  41. Chile
  42. Norway
  43. Maldives
  44. Bhutan
  45. Colombia
  46. Libya
  47. Comoros
  48. Hungary
  49. Laos
  50. Estonia
  51. Iraq
  52. Portugal
  53. Azerbaijan
  54. Macedonia
  55. Romania
  56. Peru
  57. Marshall Islands
  58. Slovenia
  59. Nauru
  60. Guatemala
  61. El Salvador
  62. Afghanistan
  63. Cyprus
  64. Syria
  65. Slovakia
  66. Luxembourg
  67. Jordan
  68. Armenia
  69. Haiti And Dominican Republic
  70. Malta
  71. Djibouti
  72. East Timor
  73. Micronesia
  74. Morocco
  75. Liberia
  76. Kosovo
  77. Isle Of Man
  78. Paraguay
  79. Tokelau
  80. Palau
  81. Ile De Clipperton
  82. Mauritius
  83. Equatorial Guinea
  84. Tonga
  85. Myanmar
  86. Thailand
  87. New Caledonia
  88. Niger
  89. Nicaragua
  90. Pakistan
  91. Nepal
  92. Seychelles
  93. Democratic Republic of the Congo
  94. China
  95. Kenya
  96. Kyrgyzstan
  97. Bosnia Herzegovina
  98. Burkina Faso
  99. Canary Island
  100. Togo
  101. Israel And Palestine
  102. Algeria
  103. Suriname
  104. Angola
  105. Cape Verde
  106. Liechtenstein
  107. Taiwan
  108. Turkmenistan
  109. Tuvalu
  110. Ivory Coast
  111. Moldova
  112. Somalia
  113. Belize
  114. Swaziland
  115. Solomon Islands
  116. North Korea
  117. Sao Tome And Principe
  118. Guyana
  119. Serbia
  120. Senegal And Gambia
  121. Faroe Islands
  122. Guernsey Jersey
  123. Monaco
  124. Tajikistan
  125. Pitcairn

Disclaimer : If you find any shapefile data of country provided is incorrect do contact us or comment below, so that we will correct the same in our system as well we will try to correct the same in openstreetmap.