Download Orchard Data in Shapefile, KML, MID & in GIS Formats

Need spatial data for agricultural or environmental planning? Download Orchard Data effortlessly using GIS Data by MAPOG—a comprehensive platform offering multi-format GIS datasets including Shapefile, KML, GeoJSON, MID, and more. Designed to support diverse GIS tools, this intuitive portal delivers well-structured, location-specific data on orchards, ideal for land use studies, farming analysis, agri-tech solutions, and sustainable development planning.

How to Download Orchard Data with MAPOG

MAPOG simplifies access to orchard-related geographic data with a straightforward, guided workflow. With support for formats like SHP, KML, CSV, MID, DXF, MIF, GPX, and TOPOJSON, it serves the needs of both professionals and enthusiasts in the GIS and agriculture sectors.

Download Orchard 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 Orchard Data

Step 1: Search for Orchard Data

Navigate to the MAPOG platform and use the search layer tool to locate “Orchard Data.” Once found, review its attributes to confirm whether the data is represented in points or polygons. This helps determine its suitability for your intended GIS application.

Download Orchard Data
Download Orchard Data
Step 2: Try the AI Search Assistant

Save time by using MAPOG’s “Try AI” feature. Input simple prompts like “Orchards in this area” and let the AI fetch the most relevant layers in seconds. This smart search assistant improves accuracy and reduces the hassle of manual filtering.

Download Orchard Data
Step 3: Apply Smart Filters for Precision

Make your search more specific with the Filter Data option. Users can narrow down orchard datasets by selecting specific states or districts—helping target the exact region of interest. For country-wide datasets, these filters allow deeper granularity and improved data relevance.

Download Orchard Data
Step 4: Visualize the Data on the Map

The “Add on Map” feature allows you to overlay the selected orchard data on the interactive map interface. This visual layer helps with spatial analysis, planning, and pattern recognition—especially useful for comparing orchard distribution or coverage across regions.

Download Orchard Data
Step 5: Download Orchard Data in Desired Format

Once you’re satisfied with the dataset, proceed to download it. Choose between sample or full versions, select your preferred format—whether Shapefile, KML, MID, or another GIS-supported type—and agree to the download terms. With just a click, your orchard data is ready to use.

Download Orchard Data

Final Thoughts

Thanks to MAPOG’s intuitive tools and extensive format support, the process to download Orchard Data is seamless and efficient. Whether you’re mapping for agriculture, conducting environmental assessments, or managing land resources, the platform ensures you get accurate and useful orchard data tailored to your needs. So if you’re ready to take your GIS analysis to the next level, start by downloading the orchard data that fits your project perfectly.

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 Fitness Studios Location Data in Shapefile, KML, and GIS Formats

Looking for accurate location data on fitness studios? Download Fitness Studios Data easily and efficiently using GIS Data by MAPOG. This intuitive platform supports over 15 GIS-compatible formats, including Shapefile, KML, GeoJSON, MID, and more. Whether you’re working on urban planning, health and wellness research, or commercial site analysis, MAPOG offers well-structured and frequently updated spatial datasets that are ready to power your GIS workflows.

How to Download Fitness Studios Data?

From analyzing health infrastructure to exploring fitness access in urban spaces, MAPOG makes the process of accessing location-based data incredibly simple. With coverage spanning hundreds of layers, this platform caters to both beginners and advanced GIS users. You can export data in formats like SHP, CSV, DXF, SQL, GPX, TOPOJSON, MIF, and others—ensuring wide compatibility with popular GIS tools like QGIS, ArcGIS, or AutoCAD Map.

Download Fitness Studios 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 Fitness Studios Data

Step 1: Search for Fitness Studios Data

Begin by selecting your region of interest on the GIS Data by MAPOG platform. Use the search function to find “Fitness Studios Data.” Review the layer’s attributes to see whether the data is represented in point or polygon geometry.

Download Fitness Studios Data
Download Fitness Studios Data
Step 2: Use the AI Search Assistant

MAPOG’s smart “Try AI” search tool enhances your experience. Simply type phrases like “Fitness centers near city” or “Workout facilities in region,” and the AI will fetch the most relevant datasets in seconds. It’s an efficient way to discover data without manual filtering.

Download Fitness Studios Data
Step 3: Filter Your Dataset

Narrow down results with the powerful Filter Data tool. You can refine data by selecting specific states and districts. This targeted approach ensures you get only the most relevant information for your project—perfect for localized mapping or in-depth spatial analysis.

Download Fitness Studios Data
Step 4: Visualize with “Add on Map”

Once a dataset is selected, click the “Add on Map” option. This adds the data layer directly to the platform’s map viewer, allowing you to interact, analyze spatial distribution, and assess patterns such as concentration clusters or underserved areas.

Download Fitness Studios Data
Step 5: Download Fitness Studios Data

After reviewing the data, proceed to download it. Choose either the sample version or the complete dataset. Select from a variety of GIS formats including Shapefile, KML, MID, and others. Accept the terms, and your download will begin instantly.

Download Fitness Studios Data

Final Thoughts

With GIS Data by MAPOG, it’s never been more convenient to Download Fitness Studios Data for analysis, planning, or research purposes. The platform offers flexibility, precision, and a wide selection of formats to match your GIS toolkit. So, whether you’re mapping health trends or scouting locations for a new gym, Download Fitness Studios Data from MAPOG and elevate your spatial insights.

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 Animal Boarding Facility Data in Shapefile, KML, and GeoJSON Formats

Download Animal Boarding Facility Data seamlessly with GIS Data by MAPOG. These facilities serve as safe spaces where animals are temporarily housed, cared for, and monitored, often during travel, emergencies, or when owners are unable to provide immediate care. MAPOG makes it simple to access accurate datasets of such facilities in multiple GIS formats, including Shapefile, KML, MID, GeoJSON, and more—ensuring compatibility with a wide range of mapping and analysis tools.

Why It Matters

Animal Boarding Facility data is crucial for urban planners, veterinary authorities, animal welfare organizations, and researchers who need insights into the distribution and accessibility of these facilities. With MAPOG, the process of locating, analyzing, and exporting this information is streamlined, making planning and analysis far more efficient.

Download Animal Boarding Facility 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 Animal Boarding Facility Data

Step 1: Search for the Data

Within the MAPOG interface, use the search layer option and type “Animal Boarding.” The dataset details will display attributes such as location points or polygons, providing clarity on the type of geographic data available.

Download Animal Boarding Facility Data
Download Animal Boarding Data
Step 2: Use the AI Search Tool

MAPOG’s “Try AI” feature makes searching much faster. By entering simple keywords like “Animal Boarding Facility near area”, the AI automatically fetches relevant datasets, saving users time and minimizing manual effort.

Download Animal Boarding Facility Data
Step 3: Apply Data Filters

To get more refined results, apply the Filter Data option. This allows you to narrow down information to a particular state or district. For larger datasets, this feature provides deeper precision, ensuring users retrieve only the most relevant data.

Download Animal Boarding Facility Data
Step 4: Visualize with “Add on Map”

Once a dataset is located, the Add on Map option lets you overlay it directly on the interactive GIS interface. This visualization step makes it easier to understand facility distribution, coverage gaps, and accessibility before proceeding to download.

Download Animal Boarding Facility Data
Step 5: Download Animal Boarding Facility Data

After finalizing the dataset, click Download Data. MAPOG provides flexibility to either download a sample or the complete dataset. Select your desired format—Shapefile, KML, MID, GeoJSON, or among 15+ supported GIS formats.

Download Animal Boarding Facility Data

Conclusion

With GIS Data by MAPOG, the ability to Download Animal Boarding Facility Data becomes straightforward, accurate, and highly flexible. Professionals, researchers, and planners can now access structured datasets in multiple formats to support mapping, decision-making, and analysis. Whether for welfare initiatives, emergency planning, or urban development, this platform ensures data is both reliable and ready for actionable insights.

With MAPOG’s versatile toolkit, you can effortlessly upload vector and upload Excel or CSV data, incorporate existing layers, perform Split polygon by line, 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:

Convert SQLITE to DXF: A Step-by-Step Guide

This tutorial provides a clear and detailed walkthrough for converting a SQLITE file into DXF format using the Converter Tool in MAPOG. Whether you’re a beginner or have some experience with MAPOG, this guide will help you smoothly convert your SQLITE files to DXF.

What is SQLITE Data Format:

A file with .sqlite extension is a lightweight SQL database file created with the SQLITE software. It is a database in a file itself and implements a self-contained, full-featured, highly-reliable SQL database engine. SQLITE database files can be used to share rich contents between systems by simple exchanging these files over the network. Almost all mobiles and computers use SQLITE for storing and sharing of data, and is the choice of file format for cross-platform applications. Due to its compact use and easy usability, it comes bundled inside other applications. SQLITE bindings exist for programming languages such as C, C#, C++, Java, PHP, and many others.

Online GIS Data Conversion

Converting SQLITE Data into DXF Format:

Converter Tool in MAPOG enables users to seamlessly convert data between different formats based on their specific needs. This tool simplifies the data transformation process for a variety of GIS applications, ensuring both flexibility and efficiency when working with multiple file types. For instance, MAPOG’s Converter Tool can convert SQLITE data into DXF format, reducing file size while preserving essential geographic information. This conversion improves the data’s compatibility with online mapping and interactive platforms, ultimately enhancing workflows and significantly increasing GIS data usability.

                      Steps to Convert SQLITE to DXF:

Step 1: Upload the Data:

Navigate to the header menu, click on “Process Data,” and then choose the “Converter Tool” option to begin.

SQLITE to DXF

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

SQLITE to DXF
Step 2: Choose the Output Format

1.Set DXF as the desired output format for your data export. While the Converter Tool provides various format options, this guide is specifically dedicated to converting your file into the DXF format.

SQLITE to DXF

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

SQLITE to DXF
Step 3: Execute the Conversion:

Head over to the ‘Convert Files’ section, and allow the tool to handle the conversion process for you. Just upload your SQLITE file, and the Converter Tool will seamlessly transform it into DXF format, making the conversion quick and easy.

SQLITE to DXF
Step 4: Review and Download:

Review your converted DXF file to confirm its accuracy. After ensuring that the conversion is correct and meets your requirements, proceed to download the file. This step is crucial to validate that the conversion was successful and that your data has been accurately preserved.

SQLITE to DXF
Additional Tools for Further Analysis:

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

These blogs may also be useful for you:

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

Need accurate coastal and marine boundary information? Now you can Download Maritime Boundary Data with ease using GIS Data by MAPOG. This intuitive platform supports over 15 GIS formats, including Shapefile, KML, GeoJSON, and MID, making it suitable for a wide range of geospatial tools. Whether you’re involved in marine conservation, coastal planning, or international boundary studies, MAPOG provides structured, ready-to-use datasets for seamless visualization and spatial analysis.

How to Download Maritime Boundary Data with MAPOG

The process is efficient and user-focused, offering access to maritime datasets across global water bodies. With over 900+ GIS layers and 200+ data themes, MAPOG ensures accessibility in formats like SHP, KML, MIF, DXF, CSV, GeoJSON, SQL, TOPOJSON, and GPX. This flexibility empowers professionals, researchers, and students alike.

Download Maritime 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 Download Maritime Boundary Data

Step 1: Search Maritime Boundary Layer

Begin by navigating through the MAPOG interface and using the search function to find “Maritime Boundary Data.” Each layer includes detailed metadata and geometry type—whether it’s a line representing maritime zones or a polygon for exclusive zones.

Download Maritime Boundary Data
Download Maritime Boundary Data

Speed up your search using MAPOG’s “Try AI” feature. Just type queries like “Exclusive zones” or “Maritime boundaries near coastlines,” and the system instantly fetches relevant datasets. This feature is particularly helpful for new users or those exploring specific marine areas.

Download Maritime Boundary Data
Step 3: Filter by Region

Use the Filter Data option to narrow your dataset by region, state, or district-level boundaries when applicable. This makes it easier to retrieve precise data, especially for local marine management, coastal development, or spatial policy-making.

Download Maritime Boundary Data
Step 4: Add Layers to Map for Visualization

Click on the “Add on Map” option to view your selected maritime boundary layers in the analysis interface. This helps in examining overlaps, nearby zones, and distances—crucial for maritime planning and dispute resolution.

Download Maritime Boundary Data
Step 5: Download Maritime Boundary Data

Once the layer is finalized, select the “Download” button. Choose from a sample or full dataset, select the preferred format (such as Shapefile, KML, MID, GeoJSON, etc.), agree to the terms, and complete the download process. The data can then be imported into platforms like QGIS, ArcGIS, or AutoCAD for further use.

Download Maritime Boundary Data

Final Thoughts

With a few clicks, you can now Download Maritime Boundary Data in the format that best suits your GIS workflow. MAPOG’s rich repository, AI-powered search, and map-based tools make it a powerful resource for accessing high-quality geographic data. Whether you’re analyzing coastal zones or mapping maritime jurisdiction, this platform offers everything you need to make informed, data-driven decisions.

With MAPOG’s versatile toolkit, you can effortlessly upload vector and upload Excel or CSV data, incorporate existing layers, perform Split polygon by line, 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:

How to Convert MapInfo Files to GPKG (GeoPackage) Format: Step-by-Step Guide

File conversion plays a vital role in the GIS workflow, as it allows data to be used effectively across different platforms and applications. In this context, the Converter Tool in MAPOG simplifies the entire process, making data conversion quick and efficient between various formats.

What is MapInfo File?

MapInfo Professional, a widely used geographic information system software, works with a file format known as a MapInfo file. This format stores geographic data such as boundaries, points of interest, and maps. Moreover, it supports building and analyzing maps, which proves highly useful in fields like environmental studies, urban planning, and many other applications involving spatial data.

Online GIS Data Conversion

Key Concept for Conversion MapInfo to GPKG:

To bridge the gap between formats, the Converter Tool in MAPOG offers a user-friendly platform. In addition, its intuitive design ensures that users can carry out conversions without unnecessary complexity. Consequently, even tasks that might seem challenging become easier to complete. Furthermore, this accessibility empowers a wider range of users, from beginners to professionals, to manage their data effectively.

Step-by-Step Guide to Converting MapInfo to GPKG

Step 1: Upload the Data

Open MAPOG and navigate to the Process Data option. From that option, select the Converter Tool option. Ensure that your MapInfo file is ready for conversion before uploading it.

MAPINFO TO GPKG

To begin the conversion, upload your MapInfo file by selecting the data you want to convert.

MAPINFO TO GPKG
Step 2: Select the Format for Conversion

Next, choose GPKG as your output format. This step allows you to identify the target format for your data, ensuring that it is compatible with applications that support the GeoPackage standard.

MAPINFO TO GPKG
Step 3: Choose the Output Coordinate Reference System (CRS)

Select the appropriate Coordinate Reference System for your GPKG file based on your specific requirements. This ensures that your data is correctly georeferenced, which is crucial for accurate mapping and analysis.

MAPINFO TO GPKG
Step 4: Execute the Conversion

Once your options are set, finish the conversion process. The tool will successfully process the MapInfo file, converting it into the GPKG format.

MAPINFO TO GPKG
Step 5: Review and Download

After the conversion is complete, review the output to ensure that the data has been accurately converted. Finally, download the GPKG file, which is now ready for further analysis.

MAPINFO TO GPKG

Conclusion:

The MAPOG Converter Tool simplifies the process of converting data between different formats, making it an invaluable resource for GIS professionals. By following these simple steps, you can easily convert MapInfo files to GPKG format, ensuring that your data is ready for a wide range of applications. If you need to download any data file in CSV or in any other formats like KML, DXF, TOPOJSON. visit GIS DATA. Here we have 900+ data layers for 200+ countries.

Additional Tools for Further Analysis:

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

Learn About MAPOG:

For users who wish to create dynamic and eye-catching maps that visually engage, MAPOG is ideal. By combining maps with multimedia components like text and photographs, it enables you to create compelling stories. Making shareable content is simple with MAPOG, whether you’re leading a tour, presenting research, or promoting a project.

Here are some other blogs you might be interested in:

How to Convert MapInfo Files to DXF Format: Step-by-Step Guide

File conversion is a vital part of the GIS process, and moreover, it ensures that data remains usable for a variety of purposes. In addition, this procedure becomes much simpler with the Converter Tool in MAPOG, which allows users to convert data between formats easily and quickly.

What is MapInfo File?

MapInfo Professional, a widely used geographic information system software, works with a file format known as a MapInfo file. This format stores geographic data such as boundaries, points of interest, and maps. Moreover, it supports building and analyzing maps, which proves highly useful in fields like environmental studies, urban planning, and many other applications involving spatial data.

Online GIS Data Conversion

Key Concept for Conversion MapInfo to DXF:

Furthermore, the Converter Tool in MAPOG provides an easy-to-use interface for switching data across formats. As a result, the conversion process feels straightforward and, at the same time, easier to understand because of its clear concept.

Step-by-Step Guide to Converting MapInfo to DXF

Step 1: Upload the Data

Go to the MAPOG’s “Process Data” section to get started. Choose the “Converter Tool” menu option. Make sure your MapInfo file is prepared for conversion before uploading it.

MapInfo Files to DXF

To begin the conversion, upload your MapInfo file by selecting the data you want to convert.

MapInfo Files to DXF
Step 2: Select the Format for Conversion

Select DXF as the format for output. Ensuring that your data can be utilized in GIS software, which is necessary for engineering and architectural applications, is why this step is so important.

MapInfo Files to DXF
Step 3: Choose the Output Coordinate Reference System (CRS)

For DXF files, choosing the appropriate CRS is crucial, particularly when working with geospatial data for accurate location in GIS programs.

MapInfo Files to DXF
Step 4: Execute the Conversion

Once you have selecting, start the conversion. Your MapInfo file can be effectively converted to DXF format by the MAPOG program, allowing it to be used for GIS analysis.

MapInfo Files to DXF
Step 5: Review and Download

Check the output after the conversion and download it.

MapInfo Files to DXF

Conclusion:

The MAPOG Converter Tool is a crucial tool that makes converting data between different formats easier. These simple instructions will help you convert MapInfo files to DXF format with easy, ensuring that your data is ready for a variety of uses, particularly those that require correct planning and design. If you need to download any data file in MapInfo or in any other formats like GEOJSON, GPS, GPX. visit GIS DATA. Here we have 900+ data layers for 200+ countries.

Additional Tools for Further Analysis:

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

Learn About MAPOG:

MAPOG is perfect for people who want to use visually striking and interactive maps to make their data come to life. It lets you build engaging narratives by connecting maps with visuals like text and images. Producing shareable content is made easy with MAPOG, whether you’re marketing a project, giving a tour or presenting research.

Here are some other blogs you might be interested in:

Convert MAPINFO TO CSV Online: A Step by Step Guide

Converting MAPINFO to CSV online is often necessary for professionals who work with spatial data. First of all, CSV files are lightweight and easy to handle, making them perfect for analysis and sharing. Moreover, many users prefer CSV because it integrates smoothly with tools like Excel and various data visualization platforms. In addition, Converter Tool in MAPOG makes this process straightforward by allowing you to transform complex MapInfo files into a more accessible format. Therefore, this step-by-step guide will walk you through how to convert MAPINFO to CSV effortlessly.

What is MapInfo File?

The geographic information system software MapInfo Professional uses a file format called a MapInfo file. To begin with, it can be used to build and analyze maps, and it stores geographic data such as boundaries, points of interest, and maps. Furthermore, environmental studies, urban planning, and other applications using spatial data frequently use it. As a result, when conversion is required, tools like the MAPOG Converter Tool provide a reliable way to turn these files into formats such as CSV for broader use.

Online GIS Data Conversion

Key Concept for Conversion MapInfo to CSV:

The MAPOG Converter Tool offers a convenient platform for converting data between different formats. Thanks to its basic layout, users can easily complete the conversion process. Here is a step-by-step tutorial on converting MapInfo files to CSV format using MAPOG.

Step-by-Step Guide to Converting MapInfo to CSV

Step 1: Upload the Data

Begin by choosing the “Process Data” section in MAPOG. From there, select the “Converter Tool ” option. Before uploading your MapInfo file to the platform, ensure it is prepared and ready for conversion.

MAPINFO TO CSV

To begin the conversion, upload your MapInfo file by selecting the data you want to convert.

MAPINFO TO CSV
Step 2: Select the Format for Conversion

Next, choose CSV as the output format. At this stage, you can select the format in which your data will be converted, ensuring compatibility with spreadsheet applications and other tools that support CSV.

MAPINFO TO CSV
Step 3: Choose the Output Coordinate Reference System (CRS)

Selecting the correct CRS is necessary for CSV files.

MAPINFO TO CSV
Step 4: Execute the Conversion

Once you’ve selected your options, proceed with the conversion process. The MAPOG tool will accurately convert your MapInfo file into CSV format, providing a flexible text-based file that can be easily opened and analyzed in various applications.

MAPINFO TO CSV
Step 5: Review and Download

After the process review the output to ensure that data has converted correctly. Then download the CSV file.

MAPINFO TO CSV

Conclusion:

The MAPOG Converter Tool simplifies the process of converting data between different formats, making it an essential resource for GIS professionals. By following these simple steps, you can easily convert MapInfo files to CSV format, ensuring that your data is prepared for a wide range of applications, especially those that require a simple, text-based file structure for analysis or sharing. If you need to download any data file in MapInfo or in any other formats like MID, GML, GPS. visit GIS DATA. Here we have 900+ data layers for 200+ countries.

Additional Tools for Further Analysis:

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

Learn About MAPOG:

MAPOG is perfect for users who want to make visually engaging maps that are dynamic and eye-catching. Through the integration of maps with multimedia elements such as text and images, you can craft captivating narratives. Whether you’re promoting a project, giving a research presentation, or conducting a tour, creating shareable material is easy with MAPOG.

Here are some other blogs you might be interested in:

Download Bungalow Data for GIS Projects – Shapefile, KML, GeoJSON & More

Looking to download Bungalow Data for your next GIS project? GIS Data by MAPOG makes it incredibly simple to locate and extract structured bungalow location datasets in over 15 GIS-supported formats, including Shapefile (SHP), KML, GeoJSON, and MID. Whether you’re analyzing residential patterns, conducting land use studies, or working on urban planning, this platform gives you direct access to high-quality, up-to-date bungalow data ready for mapping and analysis.

How GIS Data by MAPOG Works

This platform is built for usability and depth—offering access to over 900+ ready-to-use GIS layers. Users can Download Bungalow Data in formats compatible with nearly all GIS applications, including CSV, DXF, TOPOJSON, SQL, GPX, and MIF. Whether you’re a seasoned GIS analyst or just getting started, MAPOG’s interface supports your workflow from data discovery to download.

Download Bungalow 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 Bungalow Data

Step 1: Search for Bungalow Data

Begin by typing “Bungalow Data” into the search layer box after selecting your region of interest. The platform offers detailed attributes for each layer—such as structure type, geometry format (point or polygon), and area coverage.

Download Bungalow Data
Download Bungalow Data

Speed up your search using MAPOG’s “Try AI” tool. Simply enter queries like “Bungalows in [area]” or “Residential Bungalow locations,” and the AI engine will return the most relevant results, making the search intuitive and quick.

Download Bungalow Data
Step 3: Apply Filters for Deeper Accuracy

You can refine results with the Filter Data option, narrowing down by state, district, or even local municipalities. This helps focus on specific zones and makes your data more actionable for area-based analysis.

Download Bungalow Data
Step 4: Add Layer to Map for Visual Analysis

Using the “Add on Map” option, you can visualize the selected bungalow data directly on the analysis interface. This feature helps identify housing clusters, accessibility issues, and spatial patterns, supporting deeper insight before downloading.

Download Bungalow Data
Step 5: Download Your Data

Once you’re confident with your selection, hit the “Download Data” button. Choose between a sample or complete dataset. Formats like SHP, KML, MID, and more are available. Accept the terms, log in, and your data will be ready for use in any major GIS tool like QGIS or ArcGIS.

Download Bungalow Data

Conclusion

In just a few clicks, you can Download Bungalow Data tailored to your project’s requirements. With its robust filtering, AI-powered search, and multilayer mapping tools, GIS Data by MAPOG stands out as a reliable resource for accessing bungalow datasets across various GIS formats. Whether you’re working in urban development, research, or planning, this platform empowers you to make informed decisions through location-based data.

With MAPOG’s versatile toolkit, you can effortlessly upload vector and upload Excel or CSV data, incorporate existing layers, perform Split polygon by line, 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 Settlements Polygon Data in Shapefile, KML, MID +15 GIS Formats

Looking to map residential patterns or study human settlements with precision? Download Settlements Polygon Data easily using GIS Data by MAPOG—a robust platform that offers access to well-structured spatial datasets in over 15 GIS-supported formats such as Shapefile, KML, MID, GeoJSON, and more. Whether you’re planning urban infrastructure, conducting demographic analysis, or working on environmental studies, MAPOG’s detailed settlement polygons allow you to explore populated areas with accuracy and clarity.

How It Works – A Smart, Streamlined Process

GIS Data by MAPOG is designed with user experience in mind, offering a quick and intelligent way to access settlement boundaries from a massive database covering 900+ layers. You can Download Settlements Polygon Data in multiple formats including KML, SHP, CSV, SQL, DXF, MIF, and GPX. Whether you’re a professional, student, or policy planner, the platform ensures that you get high-quality data ready for integration into any GIS software.

Download Settlements 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 Settlements Polygon Data

Step 1: Search for Settlement Layers

Begin by selecting your area of interest within the MAPOG interface. Use the search bar to locate “Settlements Polygon” layers. You’ll be able to check attributes such as population details, area, and density coverage.

Download Settlements Polygon Data
Download Settlements Polygon Data

The built-in “Try AI” feature can instantly fetch the most relevant datasets. Just type phrases like “Residential areas polygon” or “Settlements in a region,” and let the AI deliver accurate results without the hassle of manual browsing.

Download Settlements Polygon Data
Step 3: Filter the Data for Precision

Narrow down your results using the Filter Data option. Whether you’re looking for settlement data in a specific district or state, this feature ensures you’re only working with the most relevant polygons.

Download Settlements Polygon Data
Step 4: Add Data to Map for Live Visualization

Click on the “Add on Map” button to overlay your selected dataset onto the analysis interface. This allows you to visualize the shape and spread of settlements in real time, compare multiple layers, or assess accessibility and proximity to other features.

Download Settlements Polygon Data
Step 5: Download in Your Preferred Format

Once satisfied with the dataset, proceed to download. Choose a sample or full version, select your required format—whether it’s Shapefile, KML, MID, or any of the supported 15+ options—agree to the terms, and initiate your download.

Download Settlements Polygon Data

Final Thoughts

MAPOG makes it remarkably simple to Download Settlements Polygon Data for a wide range of GIS applications. The combination of smart search tools, flexible download formats, and interactive mapping ensures that your workflow remains efficient and insightful. Whether you’re building a city model, conducting a field study, or managing a development project, MAPOG gives you access to settlement polygons that are accurate, reliable, and ready to use.

With MAPOG’s versatile toolkit, you can effortlessly upload vector and upload Excel or CSV data, incorporate existing layers, perform Split polygon by line, 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:
💬 Book a Meeting