Looking to explore or map the distribution of guest accommodations with ease? Download Guest Houses Data seamlessly using GIS Data by MAPOG—a platform designed for professionals, researchers, and planners who need reliable geospatial datasets. Whether you’re analyzing tourism infrastructure, planning routes, or conducting demographic research, MAPOG offers guest house location data in over 15 GIS formats including Shapefile, KML, GeoJSON, and MID, making it highly compatible with popular GIS tools and systems.
How the GIS Data by MAPOG Platform Works
The platform is built for ease. With a simple interface and intelligent search options, GIS Data by MAPOG helps users locate, filter, preview, and export spatial data from a massive library of 900+ layers spanning 200+ regions globally. The formats supported—SHP, KML, MID, DXF, CSV, SQL, GeoJSON, MIF, TOPOJSON, GPX, and others—enable interoperability across different GIS software like QGIS, ArcGIS, AutoCAD, and more.
Download Guest Houses 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 Guest Houses Data
Step 1: Search for Guest Houses Data
Begin by accessing the GIS Data by MAPOG interface. Use the search bar to enter “Guest Houses Data.” From there, explore the metadata to confirm whether the dataset is in point or polygon format and review included attributes like facility name, coordinates, operational status, and more.
Step 2: Utilize the AI Search Assistant
To speed things up, try the “Try AI” search tool on the platform. Simply type in prompts like “Guest Houses in [your area]” or “Lodging data,” and the AI tool will return the most relevant layers. This saves manual effort and boosts the accuracy of your data selection.
Step 3: Refine Results Using Filter Data Option
One of MAPOG’s strongest features is its ability to let users filter data by state and district. For nationwide guest house datasets, this becomes especially useful—allowing you to drill down from broad country-level data to pinpoint locations at city or neighborhood levels. The filters help streamline your dataset for better analysis and visualization.
Step 4: Preview with “Add on Map” Feature
After selecting your dataset, use the “Add on Map” option to visualize the guest house points on an interactive GIS map. This step is essential for identifying patterns in guest house distribution, evaluating density near tourist hotspots, or analyzing accessibility in underserved areas. It also supports layer comparison and multi-dataset overlays.
Step 5: Download Guest Houses Data in Desired Format
Once your dataset is curated and visualized, proceed to download. Choose either a sample or the full version. Select your preferred format—whether it’s Shapefile, KML, MID, GeoJSON, or another supported type. Accept the terms of use, and click on the download button. The file will be ready to integrate into your GIS project right away.
Final Thoughts
With an ever-growing need for spatial intelligence, the ability to Download Guest Houses Data across a wide range of formats is a powerful asset. GIS Data by MAPOG stands out by offering flexibility, simplicity, and detailed data layers that cater to a variety of use cases—from tourism and urban studies to emergency mapping and location intelligence. Whether you’re a GIS specialist, data analyst, or urban planner, this platform equips you with the tools to make informed decisions backed by high-quality geospatial 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:
- World Countries Shapefile
- Australia
- Argentina
- Austria
- Belgium
- Brazil
- Canada
- Denmark
- Fiji
- Finland
- Germany
- Greece
- India
- Indonesia
- Ireland
- Italy
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- New Zealand
- Nigeria
- Papua New Guinea
- Philippines
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- Russia
- Singapore
- South Africa
- South Korea
- Spain
- Switzerland
- Tunisia
- United Kingdom Shapefile
- United States of America
- Vietnam
- Croatia
- Chile
- Norway
- Maldives
- Bhutan
- Colombia
- Libya
- Comoros
- Hungary
- Laos
- Estonia
- Iraq
- Portugal
- Azerbaijan
- Macedonia
- Romania
- Peru
- Marshall Islands
- Slovenia
- Nauru
- Guatemala
- El Salvador
- Afghanistan
- Cyprus
- Syria
- Slovakia
- Luxembourg
- Jordan
- Armenia
- Haiti And Dominican Republic
- Malta
- Djibouti
- East Timor
- Micronesia
- Morocco
- Liberia
- Kosovo
- Isle Of Man
- Paraguay
- Tokelau
- Palau
- Ile De Clipperton
- Mauritius
- Equatorial Guinea
- Tonga
- Myanmar
- Thailand
- New Caledonia
- Niger
- Nicaragua
- Pakistan
- Nepal
- Seychelles
- Democratic Republic of the Congo
- China
- Kenya
- Kyrgyzstan
- Bosnia Herzegovina
- Burkina Faso
- Canary Island
- Togo
- Israel And Palestine
- Algeria
- Suriname
- Angola
- Cape Verde
- Liechtenstein
- Taiwan
- Turkmenistan
- Tuvalu
- Ivory Coast
- Moldova
- Somalia
- Belize
- Swaziland
- Solomon Islands
- North Korea
- Sao Tome And Principe
- Guyana
- Serbia
- Senegal And Gambia
- Faroe Islands
- Guernsey Jersey
- Monaco
- Tajikistan
- 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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