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Download National Park Data in Shapefile, KML, MID +15 GIS Formats Using GIS Data by MAPOG

GIS Data by MAPOG is a user-friendly portal that enables users to download National Park data in Shapefile, KML, and GeoJSON formats. It simplifies the process of accessing administrative and geographic datasets so that detailed mapping and analysis of National Parks can be done worldwide. It supports more than 15 formats, ensuring compatibility with almost all GIS tools.

Overview of the Process

GIS Data by MAPOG streamlines downloading National Park data by offering a step-by-step guide. Users can explore data from 200+ countries and 900+ layers. The platform’s extensive format options make it easy to integrate the data into different GIS applications for analysis and planning.

The available formats include KML, SHP, CSV, GeoJSON, Tab, SQL, Tiff, GML, KMZ, GPKZ, SQLITE, Dxf, MIF, TOPOJSON, XLSX, GPX, ODS, MID, and GPS. This ensures compatibility with various applications.

Download National Park 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.

Steps to Access and Download National Park Data

Step 1: Locate National Park Data

Log in and open the GIS Data interface. Select a country and use the search layer to find “National Park” data. Check the data’s attributes, such as whether it’s in point or polygon format.

Download National Park Data
Download National Park
Step 2: Use the AI Search Tool

Simplify your search with the “Try AI” feature. Type in what you’re looking for, and the tool will quickly provide relevant results. This saves time and improves search accuracy.

Download National Park Data
Step 3: Apply Filters for Precision

The filter data option lets you narrow down your search by state or district. This is particularly useful for finding specific National Parks within a region, providing more precise datasets for analysis.

Download National Park Data
Step 4: Visualize Data on the Map

Click “Add on Map” to overlay the data on the Map analysis interface. This helps visualize spatial relationships and patterns, supporting better insights. Users can add data to a new map or integrate it into an existing one.

Download National Park Data
Step 5: Download the Data

Once satisfied with your selection, click “Download Data.” Choose between sample data or the full dataset. Select your preferred format—Shapefile, KML, or any of the 15+ supported options. Agree to the terms and initiate the download.

Download National Park Data

Conclusion

GIS Data by MAPOG allows users to freely download National Park data in multiple formats. It provides accurate and current geographic information for applications like conservation, environmental studies, and policy planning. This platform serves as an important tool both for professionals and enthusiasts in GIS.

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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Convert CSV to MAPINFO Online: A Step-by-Step Guide

In the field of Geographic Information Systems (GIS), file conversion plays a vital role in ensuring data interoperability across multiple software platforms. CSV is a popular format for storing tabular data, while MapInfo uses MIF formats for handling spatial and attribute data. Converting CSV to MapInfo format allows you to integrate and visualize your data within MapInfo Professional seamlessly.

What is CSV File?

A CSV file (Comma-Separated Values) is a simple text file that stores data in a table format. Each line represents a row, and the values in each row are separated by commas, making it easy to organize and share information like a spreadsheet.

                                               ONLINE GIS DATA CONVERSION

Key Concept for Conversion CSV to Mapinfo:

MAPOG MapAnalysis‘s Converter Tool provides a straightforward solution for converting data between various GIS formats. Here is a detailed step-by-step guide on how to convert CSV files to MapInfo format using the MAPOG platform.

Step-by-Step Guide to Converting CSV to MapInfo Format

Step 1: Upload the CSV Data

Navigate to the “Process Data” section of MAPOG MapAnalysis and choose the “Converter Tool“. Upload your CSV file, ensuring it contains well-organized data with properly labeled columns, including geographic information like latitude and longitude.

Upload the Data

Step 2: Select the MapInfo Format (MIF)

Once the file is uploaded, choose the desired MapInfo format for the output (MIF or TAB). MapInfo formats are well-suited for both the spatial and attribute data needed in MapInfo applications.

Convert CSV to MAPINFO Online
Select the Format

Step 3: Choose the Coordinate Reference System (CRS)

Selecting the correct Coordinate Reference System (CRS) is important for ensuring accurate spatial representation. Choose the CRS that best fits your data’s geographic context, such as WGS 84, which is commonly used for global latitude/longitude coordinates.

Convert CSV to MAPINFO Online
Choose the Output CRS

Step 4: Execute the Conversion

After configuring all the settings and choosing the output format, initiate the conversion by clicking the “Convert” button. The MAPOG Converter Tool will process the CSV file and generate a MapInfo-compatible file (MIF), accurately preserving both the spatial data and attributes.

Convert CSV to MAPINFO Online
Execute the Converrsion

Step5: Review and Download the MapInfo File

Once the conversion is completed, review the output to ensure all data was correctly converted. Finally, download the MapInfo file, which is now ready to be imported and used within MapInfo Professional or other compatible GIS software.

Convert CSV to MAPINFO Online
Review the Data

Conclusion:

The MAPOG Converter Tool makes it easier for GIS experts and MapInfo users to prepare, integrate, and use their geospatial data by streamlining the conversion process from CSV files to MapInfo formats. If you need to download any data file in CSV or in any other formats like KMZ, DXF, GEOJSON. visit GIS DATA. Here we have 900+ data layers for 200+ countries.

Feature Tool: 
Story by MAPOG:

For those looking to create dynamic and eye-catching maps that bring their data to life, MAPOG’s Story is ideal. Maps containing multimedia features, like text and images, allow you to create engaging stories. If you’re presenting research or showcasing a project, Story by MAPOG makes it easy to generate material that can be shared.

Here are some other blogs you might be interested in:

Convert CSV to SQLITE Online: A Step-by-Step Guide

In the field of Geographic Information Systems (GIS), efficient data management is crucial. CSV is widely used for storing tabular data, but when it comes to managing spatial databases, SQLite offers a more robust, lightweight database solution.

What is CSV File?

A CSV file (Comma-Separated Values) is a simple text file that stores data in a table format. Each line represents a row, and the values in each row are separated by commas, making it easy to organize and share information like a spreadsheet.

  ONLINE GIS DATA CONVERTION

Key Concept for Conversion CSV to SQLITE:

MAPOG MapAnalysis’s Converter Tool simplifies the process of converting data between various formats, including converting CSV files into SQLite databases. Below is a step-by-step guide to walk you through the process using the MAPOG platform.

Step-by-Step Guide to Converting CSV to SQLite

Step 1: Upload Your CSV Data

Begin by navigating to the “Process Data” section in the MAPOG MapAnalysis platform. Select the Converter Tool and upload your CSV file. Ensure your CSV file contains well-organized data with clear column headers, especially for geographic information such as coordinates.

Convert CSV to SQLITE Online
Upload the Data

Step 2: Select SQLite as the Output Format

After uploading the file, choose SQLite as the target format. SQLite is a versatile database format that stores spatial and non-spatial data in a structured format, making it ideal for GIS applications.

Convert CSV to SQLITE Online
Select the Format

Step 3: Choose the Coordinate Reference System (CRS)

If your data includes spatial information, it’s important to select the correct CRS. The right CRS will ensure that your spatial data is accurately represented in the SQLite database. 

Convert CSV to SQLITE Online
Choose the Output CRS

Step 4: Execute the Conversion

Once you have selected SQLite as the output format and mapped your fields, initiate the conversion process. The MAPOG tool will accurately convert your CSV data into an SQLite database, preserving both the attribute and spatial data.

Convert CSV to SQLITE Online
Execute the Conversion

Step 5: Review and Download the SQLite File

After the conversion is complete, review the output file to ensure that all data has been accurately transferred and structured within the SQLite database. Once satisfied, download the SQLite file, which is now ready for use in any GIS software that supports SQLite.

Convert CSV to SQLITE Online
Review the Data

Conclusion:

The MAPOG Converter Tool makes the conversion of CSV to SQLite simple and efficient, allowing GIS professionals to transition from basic tabular data to a more structured database format. If you need to download any data file in CSV or in any other formats like KMZ, GPS, GPKG. visit GIS DATA. Here we have 900+ data layers for 200+ countries.

Feature Tool:
Story by MAPOG:

For users who want to create dynamic, eye-catching maps that bring their data to life, Story by MAPOG is ideal. You may create engaging narratives using maps that incorporate multimedia components like text and photos. Whether you’re showcasing a project or presenting research, Story by MAPOG makes it easy to generate material that can be shared.

Here are some other blogs you might be interested in:

Download Building Polygon Data in Shapefile, KML, MID +15 GIS Formats Using GIS Data by MAPOG

GIS Data by MAPOG is a user-friendly platform that makes it easier to retrieve GIS Data in Shapefile, KML, and GeoJSON formats. In addition to providing administrative and geographic datasets for in-depth mapping and analysis of structures globally, it makes it simple for users to download building data. It guarantees compatibility with a wide range of GIS applications by supporting over 15 formats.

How It Works

GIS Data by MAPOG streamlines the process of downloading building data. Covering over 200 countries and 900+ layers, it provides a variety of formats like Shapefile and KML for different uses. The platform’s intuitive design ensures users can quickly find and download the data they need.

The available formats include KML, SHP, CSV, GeoJSON, Tab, SQL, Tiff, GML, KMZ, GPKZ, SQLITE, Dxf, MIF, TOPOJSON, XLSX, GPX, ODS, MID, and GPS. This ensures compatibility with various applications.

Download Building Polygon 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 Download Building Data

Step 1: Search for Building Data

Start by logging into the GIS Data interface. Select your desired country, then search for the “Building Data” layer. Review its attributes, such as whether the data is in point or polygon format.

Building Polygon Data
Download Building Polygon data
Step 2: Use the AI Search Tool

To simplify your search, use the “Try AI” tool. Enter the specific data type and location you need. The tool will provide accurate results, saving time and effort.

Building Polygon Data
Step 3: Apply Filters

Refine your search using the filter feature. Narrow down results by state or district to access more granular building data. This improves accuracy and ensures relevance for analysis.

Building Polygon Data
Step 4: Add Data to Map

Use the “Add on Map” feature to overlay your selected data onto the Map analysis interface. You can add it to a new or existing map for deeper insights into spatial patterns.

Building Polygon Data
Step 5: Download Building Data

Click the “Download Data” button. Choose between sample data or the full dataset. Select your desired format—Shapefile, KML, GeoJSON, or others. After agreeing to the terms, click download, and your file will be ready.

Building Polygon Data

Conclusion

Building data downloads are quick and easy with GIS Data from MAPOG. Users may obtain precise, current geographic data for uses such as architectural research, infrastructure management, and urban planning thanks to its many forms and user-friendly features.

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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Convert CSV to ESRI Shapefile Online: A Step-by-Step Guide

Converting geospatial data from CSV to ESRI Shapefile (SHP) format is crucial for users needing to utilize spatial data in various GIS platforms. The ESRI Shapefile format is widely recognized in GIS, representing spatial features such as points, lines, and polygons.

What is CSV File?

A CSV file (Comma-Separated Values) is a simple text file that stores data in a table format. Each line represents a row, and the values in each row are separated by commas, making it easy to organize and share information like a spreadsheet.

                                        ONLINE GIS DATA CONVERSION

Key Concept for Conversion CSV to ESRI Shapefile: 

MAPOG MapAnalysis‘s Converter Tool provides a user-friendly platform for converting CSV data into the ESRI Shapefile format. Here’s how to complete the conversion process using MAPOG.

Step-by-Step Guide to Converting CSV to ESRI Shapefile

Step 1: Upload the Data
Navigate to the “Process Data” section in MAPOG MapAnalysis and select the “Converter Tool” option. Upload your CSV file, ensuring that it contains the necessary spatial coordinates.

Convert CSV to ESRI Shapefile Online
Upload the Data

Step 2: Select the Format for Conversion
Choose “ESRI Shapefile” as the output format. This format is widely used for spatial data analysis and sharing across different GIS platforms.

Convert CSV to ESRI Shapefile Online
Select the Format

Step 3: Choose the Coordinate Reference System (CRS)
Select the appropriate CRS to ensure proper geographic representation in the shapefile. The CRS determines how the spatial features will be projected and interpreted.

Convert CSV to ESRI Shapefile Online
Choose the Output CRS

Step 4: Execute the Conversion
Initiate the conversion process. MAPOG’s tool will convert the CSV file into the Shapefile format, preserving spatial attributes and associated data.

Convert CSV to ESRI Shapefile Online
Execute the Conversion

Step 5: Review and Download
Once the conversion is complete, review the output to ensure that the spatial features and data were correctly processed. Download the Shapefile, which is now ready for use in GIS software like ArcGIS or QGIS.

Convert CSV to ESRI Shapefile Online
Download the Data

Conclusion:


MAPOG’s Converter Tool makes the process of converting CSV files to ESRI Shapefile format simple and efficient. By following these steps, you can easily integrate your CSV data into any GIS application that supports shapefiles. If you need to download any data file in CSV or in any other formats like KML, SHP, GEOJSON. visit GIS DATA. Here we have 900+ data layers for 200+ countries.

Feature Tool:
Story by MAPOG:

If you want to create maps that bring your data to life, Story by MAPOG is ideal for you. With maps and multimedia components like text and images, you can create engrossing stories. Whether you’re presenting research or showcasing a project.

Here are some other blogs you might be interested in:

Convert CSV to DXF Online: A Step-by-Step Guide

File conversion is a crucial step in working with GIS data, ensuring compatibility between different formats and applications. CSV files store tabular data such as geographic coordinates and attributes, while DXF is used for GIS software to represent spatial features. Converting CSV to DXF enables users to transfer geospatial data from a CSV format into GIS tools for design, mapping, and spatial analysis.

What is CSV File?

A CSV file (Comma-Separated Values) is a simple text file that stores data in a table format. Each line represents a row, and the values in each row are separated by commas, making it easy to organize and share information like a spreadsheet.

                                           ONLINE GIS DATA CONVERSION        

Key Concept for Conversion CSV to DXF: 

MAPOG MapAnalysis‘s Converter Tool offers a simple and effective solution for converting CSV files to DXF format, streamlining the process for GIS professionals and GIS users alike. Here’s a step-by-step guide to converting your CSV file to DXF format using MAPOG.

Step-by-Step Guide to Converting CSV to DXF

Step 1: Upload the Data: 

Start by navigating to the “Process Data” section in the MAPOG MapAnalysis interface. Select the “Converter Tool” option and upload your prepared CSV file. Ensure your CSV file is correctly formatted, with columns for geographic coordinates and any attribute data you want to include in the DXF output.

Convert CSV to DXF Online
Upload the Data

Step 2: Choose the Output Format (DXF): 

Next, select DXF as the output format. DXF is commonly used for transferring data into GIS software, making it ideal for spatial analysis and technical drawings.

Convert CSV to DXF Online
Select the Fomat

Step 3: Set the Output Coordinate Reference System (CRS):

 For accurate mapping, you may need to select an appropriate CRS based on your data’s geographic location. This step ensures the data in the DXF file is geographically accurate.

Convert CSV to DXF Online
Choose the Output CRS

Step 4: Execute the Conversion: 

Once you’ve specified all necessary options, execute the conversion. MAPOG will quickly convert the CSV file into DXF format, retaining both geometric and attribute data. 

Convert CSV to DXF Online
Execute the Conversion

Step 5: Review and Download the DXF File: 

After the conversion is complete, review the output to ensure it and download the DXF file. This file is now ready for use in GIS applications, enabling you to work with the spatial data in a technical drawing environment.

Convert CSV to DXF Online
Review the Data

Conclusion: 

The MAPOG Converter Tool simplifies CSV to DXF conversion, enabling seamless transitions from tabular geographic data to GIS-friendly formats. By following these steps, you can efficiently convert your CSV files to DXF, ensuring compatibility with GIS software for advanced spatial analysis and design purposes. If you need to download any data file in CSV or in any other formats like GML, GEOJSON. visit GIS DATA. Here we have 900+ data layers for 200+ countries.

Feature Tool:

Story by MAPOG:

For users who wish to employ interactive and eye-catching maps to bring their data to life, Story by MAPOG is ideal. It enables you to combine maps with multimedia components like text and photographs to create compelling narratives. Story by MAPOG makes it simple to produce shareable content, whether you’re promoting project, leading a tour, presenting research.

Here are some other blogs you might be interested in:

Download Farms data in Shapefile, KML, GKPG +15 GIS format – Filter and download

GIS Data by MAPOG is a user-friendly platform that offers seamless access to GIS Data in formats like Shapefile, KML, and GeoJSON. It simplifies the process of downloading farms data, providing detailed administrative and geographic datasets for accurate mapping and analysis. Users can quickly download farms data in over 15 GIS formats, supporting various applications in agriculture and land management.

GIS Data by MAPOG streamlines the process of obtaining farms data. With access to 200+ countries and 900+ data layers, users can find datasets tailored to their needs. Supported formats include KML, SHP, CSV, GeoJSON, and more, ensuring compatibility with most GIS tools.

Download Farms 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 Download Farms Data

Step 1: Search for ‘Farms Data’

Once logged in, open the GIS Data interface. Select a country and search for the “Farms” layer. Review data attributes to confirm whether it’s in point or polygon format.

Download Farms data
Step 2: Use the AI Tool

Utilize the “Try AI” feature in the top left corner. Enter your specific data requirements, such as “Farms in [State/District],” and let the AI retrieve precise results quickly.

Step 3: Apply Filters

Refine your search using the filter option. This allows you to narrow down datasets by state or district, ensuring a more focused analysis. It enhances data relevance, especially for large-scale farm mapping.

Step 4: Add Data to Map

The “Add on Map” feature lets users visualize their selected farms data. You can overlay it onto a new or existing map in Map analysis, gaining deeper insights into spatial patterns and relationships.

Step 5: Download Data

Click “Download Data.” Choose between sample or full datasets. Select your preferred format (Shapefile, KML, etc.), agree to the terms, and finalize the download.

Conclusion

With GIS Data by MAPOG, downloading farms data is quick and efficient. The platform provides reliable and up-to-date geographic information, making it a valuable resource for agricultural planning, land-use management, and GIS 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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Download Farmland Data in Shapefile, KML, GeoJSON, and More – Filter and Download

MAPOG is a helpful tool that lets you find and download farmland data for different projects. This data can help you plan farming activities, understand land use or study environmental areas. In this guide, we will show you how to download farmland data in easy steps.

GIS data is special data that shows places on a map, and with MAPOG, you can see where farmland is located and download this information in different file formats. Farmland data can also be filtered by region, making it easier to locate and download the specific GIS data needed for your analysis. Various formats are provided to suit different needs.

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.

Farmland data is useful for farmers, researchers, and governments. It helps people plan farms, understand land use and study agriculture. MAPOG’s GIS Data feature lets you download farmland 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.

Step-by-Step Guide to Download Farmland Data

Step 1: Choose the Country

here, you have to select the country.

If you can’t find the data or country, use the ‘Try AI’ feature in MAPOG to quickly locate the information you need.

Step 2: Filter the Data

Use filters to narrow down your search and then you can filter by specific regions or crop types. This helps you find exactly what you’re looking for.

Step 3: Add to Map

After selecting the farmland data then please add it to your map. This helps you see where the farmland is located.

Step 4: Download the Data

You’ve checked the map and please click the download button. You can choose different formats, CSV, SHP, GeoJSON and many more depending on what you need for your project.

More About Farmland Data

Farmland data can come in various forms. Point data shows specific locations, such as the exact spots where individual farms are located. Polygon data displays the shape and boundaries of larger farmland areas, offering a broader view of the land’s extent. People often use these different data types to gain detailed insights into agricultural land use.

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 Farmland 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 Pharmacy Data in Shapefile, KML, GeoJSON, and More – Filter and Download

MAPOG is an easy-to-use tool that helps you find and download pharmacy data for different projects. Whether you’re planning healthcare services, studying access to medicines, or analyzing pharmacy locations, MAPOG makes it simple. This guide will show you how to download pharmacy data step by step.

Pharmacy GIS Data shows where pharmacies are located on a map. With MAPOG, you can see exact pharmacy locations and download this data in different formats. You can also filter the data by region, which helps you find exactly what you need.

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.

Pharmacy data is helpful for many people, including healthcare planners, researchers, and government agencies. It helps with understanding where pharmacies are, planning services, and making healthcare more accessible. MAPOG allows you to download pharmacy data in several formats like KML, SHP, CSV, and more, so you can use it in different programs.

Step-by-Step Guide to Download Pharmacy Data

Step 1: Choose the Country
Select the country you’re interested in.

If you can not find the data or country, you can use the ‘Try AI’ feature to quickly find the particular data you need.

Step 2: Filter the Data
Use filters to narrow down your search. For example, you can choose a specific city or region. This helps you get the exact data you need.

Step 4: Add to Map
After selecting the pharmacy data, add it to your map. This lets you see where the pharmacies are located.

Step 5: Download the Data
Once you’ve checked the map, click the download button. Choose the format you need, such as CSV or SHP, for your project.

More About Pharmacy Data

Pharmacy data includes different types of information:

  • Point data: Shows the exact location of each pharmacy.
  • Polygon data: Can show the boundaries of pharmacy service areas.

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 Point of Interest in Shapefile, KML , KMZ +15 GIS format – Filter and download

GIS Data by MAPOG is a user-friendly platform that provides easy access to various GIS data formats like Shapefile, KML, and GeoJSON. It offers a seamless interface for downloading a wide range of geographic and administrative datasets. Allowing users to efficiently download point of interest data, such as landmarks, historical sites, and other notable locations. This enables detailed mapping and analysis of points of interest worldwide in multiple formats, catering to diverse GIS needs.

MAPOG simplifies downloading point of interest data from over 200 countries and 900+ layers, supporting various GIS applications and formats like Shapefile, KML, and MID, for urban planning and tourism development.

The extensive array of data formats such as KML, SHP, CSV, GeoJSON, Tab, SQL, Tiff, GML, KMZ, GPKZ, SQLITE, Dxf, MIF, TOPOJSON, XLSX, GPX, ODS, MID, and GPS allows flexibility for diverse analyses and applications.

Download Point of Interest Data 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 Guide to Accessing Point of Interest Data

Step 1: Locate ‘Point of Interest Data’

Navigate to the GIS Data interface, select your desired region or countries like UK, USA, Australia, Canada etc. Use the search bar to find data layers labeled “Point of Interest.” You can check the data attributes, like whether the points are represented as locations or polygons, and ensure they match your specific requirements.

Point of Interest
Download Point of Interest Data

Utilize the “Try AI” tool, conveniently located in the upper left corner of the interface, to streamline your search. Simply type in the type of point of interest you are looking for and the area or region you need data from, and the AI tool will quickly provide you with relevant results, saving you time and effort.

Point of Interest
Step 3: Refine Your Search with Filter Options

Leverage the filter data option in GIS Data by MAPOG to narrow down your search by selecting specific states or districts. This feature is particularly useful for focusing on specific points of interest within a broader dataset, providing a more accurate and targeted approach to data analysis.

Step 4: Add the Data to Your Map for Analysis

The “Add on Map” feature allows users to visualize their selected point of interest data on a map. By choosing this option, you can overlay the data onto a new or existing mapping in Map analysis, enabling deeper analysis of spatial relationships, patterns, and trends. This step is crucial for enhancing the depth of your GIS projects.

Point of Interest
Step 5: Download the Data in Your Preferred Format

Click on the “Download Data” button and choose between downloading a sample or the complete dataset, depending on your needs. Select your preferred format—whether Shapefile, KML, GeoJSON, MID, or one of the 15+ available formats. Agree to the terms and conditions, and then click the download button to obtain your data.

Point of Interest

Conclusion

By following these steps, you can easily download point of interest data in various GIS formats using GIS Data by MAPOG. The platform provides comprehensive and up-to-date geographic information that is invaluable for a range of applications, from urban development and tourism planning to environmental studies and location-based analyses. With its user-friendly features and broad format compatibility, MAPOG stands out as a vital tool for GIS professionals and 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.

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