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

Access and download river data in Shapefile, KML, GeoJSON, and over 15 other GIS formats. Enhance your mapping and spatial analysis with detailed river datasets from countries like India, Brazil, and Australia.

Accurate and up-to-date river data is crucial for GIS professionals, environmentalists, and researchers. Whether you’re working on water resource management, environmental planning, or hydrological studies, having river data in the right format can significantly enhance your projects. In this article, we’ll guide you through the process of downloading river data in multiple GIS formats, including Shapefile, KML, GeoJSON, and over 15 other formats. We’ll be utilizing the MAPOG GIS DATA platform, a powerful tool that simplifies acquiring and converting GIS data to suit your needs.

Download River Dataset

We offer 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.

Steps to Download River Data

Step 1: Open MAPOG GISDATA Tool and Search for the Country
Begin by opening the MAPOG GISDATA platform. Use the search bar to enter the name of the country—such as India, America, Brazil, or Australia—whose river data you wish to download. This helps you quickly locate the relevant geographic data specific to the country’s river network.

Download River Data in Shapefile, KML, GeoJSON + 15 GIS Formats
Open MAPOG GISDATA Tool and Search for the Country

Step 2: Search for ‘River data’ in the Search Bar and Use the View Filtered Layer Data Section
In the MAPOG GISDATA platform’s search bar, type “River.” This will generate a list of different types of river data available for download, including river networks, basins, tributaries, and more. To focus on specific river features or layers, use the “View Filtered Layer Data” option. You can select specific layers and then click on “Zoom to Action” in the data table to view and analyze the data in detail. This ensures that you are working with the precise data needed for your project.

Download River Data in Shapefile, KML, GeoJSON + 15 GIS Formats
Search for ‘River data’ in the Search Bar and Use the View Filtered Layer Data Section

Step 3: Add to Map for Visual Analysis
After selecting the river data, click “Add to Map” to visualize it directly on the map. This allows you to see the spatial arrangement of the river data and zoom in to explore specific features in detail.

Download River Data in Shapefile, KML, GeoJSON + 15 GIS Formats
Add to Map for Visual Analysis

Step 4: Download the Data
Once you’ve confirmed that the data meets your needs, click the “Download” button. Choose your preferred format—whether it’s Shapefile, KML, GeoJSON, or any other available format—to save the data for your project.

Download the Data
Download the Data

Conclusion

Accessing and utilizing river data is essential for GIS projects, and the MAPOG GISDATA platform makes it easy. By following this guide, you can download river data in the format that best suits your needs, whether for water management, conservation, or hydrological analysis.

For any assistance, contact 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 Greenhouses Data in Shapefile, KML, MID +15 GIS Formats Using GIS Data by MAPOG

A user-friendly platform called GIS Data by MAPOG provides easy access to a variety of GIS data formats, such as Shapefile, KML, and GeoJSON. The portal makes downloading greenhouse data easier, whether you’re working on urban planning or agricultural research. Users can examine the global distribution and effects of greenhouses thanks to comprehensive mapping features.

How It Works

GIS Data by MAPOG makes downloading greenhouses data easy. The platform provides step-by-step guidance, supporting over 200 countries and 900+ layers. With a wide variety of formats, such as Shapefile and KML, users can effortlessly integrate data into their preferred GIS tools.

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 Greenhouses 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 Greenhouses Data

Step 1: Locate Greenhouses Data

Log in and open the GIS Data interface. Select a country and use the search feature to find the “greenhouses” layer. You can check attributes, such as data type (point or polygon).

Download Greenhouses Data
Download Greenhouses data
Step 2: Use the AI Tool

The “Try AI” tool simplifies your search. Enter the type of data you need and its location. The AI will quickly generate accurate results, saving time.

Download Greenhouses Data

The filter data option allows you to narrow down the results. Focus on specific states or districts to get precise information. This is especially useful when working with large datasets.

Download Greenhouses Data
Step 4: Visualize with Add on Map

Click “Add on Map” to overlay the data onto a map. You can start a new map or add layers to an existing one. This feature helps analyze spatial patterns and relationships.

Download Greenhouses Data
Step 5: Download Your Data

Finally, hit the “Download Data” button. Choose between a sample or full dataset. Select your desired format—Shapefile, KML, or another supported option. Agree to the terms and download your data.

Download Greenhouses Data

Conclusion

The greenhouse data download process is made easier with GIS Data by MAPOG. With its user-friendly features and compatibility for many formats, it gives users the ability to obtain precise geographic data for planning, analysis, and decision-making. The site is a vital resource for GIS professionals and hobbyists, whether they are studying agriculture or the environment.

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:

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

File conversion is crucial to Geographic Information Systems (GIS) in order to guarantee the seamless integration of geospatial data across various platforms and applications. Geospatial data can be efficiently stored and shared in a single file that can be used in a variety of GIS software programs by converting CSV to GPKG.

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 GPKG:

MAPOG MapAnalysis‘s Converter Tool provides a simple, user-friendly interface for converting CSV files to GPKG. The following guide explains the step-by-step process for converting CSV to GPKG using the MAPOG platform.

Step-by-Step Guide to Converting CSV to GPKG

Step 1: Upload Your CSV Data

Begin by navigating to the “Process Data” section in MAPOG MapAnalysis and selecting the “Converter Tool“. Ensure your CSV file is well-structured, with clear headers for fields like latitude, longitude, and any other relevant data.

Convert CSV to GPKG Online
Upload the Data

Step 2: Select GPKG as the Output Format

Once your CSV file is uploaded, choose GPKG (GeoPackage) as the desired output format. GPKG is a versatile, efficient format that allows you to store multiple types of geographic data, including points, lines, and polygons, in one file.

Convert CSV to GPKG Online
Select the Format

Step 3: Choose the Coordinate Reference System (CRS)

Select the appropriate CRS for your data, ensuring that the geographic coordinates are accurately projected in the resulting GPKG file. This step is crucial for maintaining spatial integrity when using your data in different GIS platforms.

Convert CSV to GPKG Online
Choose the Output CRS

Step 4: Execute the Conversion

After mapping your data and selecting the CRS, initiate the conversion process. The MAPOG Converter Tool will transform your CSV data into a GPKG file, organizing the data into spatial layers and attributes.

Convert CSV to GPKG Online
Execute the Excursion

Step 5: Review and Download the GPKG File

Once the conversion is complete, review the resulting GPKG file to ensure all geographic and attribute data was accurately converted. If everything looks correct, download the GPKG file, which is now ready for use in various GIS applications.

Convert CSV to GPKG
Review the Data

Conclusion:

The MAPOG Converter Tool streamlines the process of converting CSV files to GPKG, making it easier to integrate and store geospatial data efficiently. By following these steps, you can transform your tabular CSV data into a robust, spatially-enabled GPKG file for use in a variety of GIS platforms. If you need to download any data file in CSV or in any other formats like SHP, TOPOJSON, GML. visit GIS DATA. Here we have 900+ data layers for 200+ countries.

Feature Tool: 
Story by MAPOG:

Story by MAPOG is perfect for users who wish to make their data come alive through interactive and visually appealing maps. It enables you to construct compelling stories by maps with multimedia elements such as text and images. Story by MAPOG makes it simple to create shareable content, whether you’re presenting research, exhibiting a project.

Here are some other blogs you might be interested in:

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.

Here are some blogs you might be interested in:

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.

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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.

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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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