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However, KML is verbose. Manually writing it is error-prone. Spreadsheets, by contrast, are how most field data, survey results, and address lists are stored. JXLStoKML automates the translation, typically mapping columns to:
A KML file does much more than point to a location. It dictates:
Spreadsheets are fantastic for storage and calculation, but they lack spatial context. You cannot "see" the geography of a spreadsheet without specialized processing.
Note: KMZ is a zipped KML + images. Google Earth reads this natively.
Best for: Quick, non-sensitive data.
KML, developed originally for Google Earth, has become an OGC standard for representing geographic features: points, lines, polygons, images, and 3D models. A KML file encodes placemarks, styles, and attributes that can be overlaid on 3D Earth browsers. Unlike shapefiles or GeoJSON, KML is particularly accessible to non-experts—double-clicking a .kml file opens Google Earth, instantly visualizing data.
However, KML is verbose. Manually writing it is error-prone. Spreadsheets, by contrast, are how most field data, survey results, and address lists are stored. JXLStoKML automates the translation, typically mapping columns to:
A KML file does much more than point to a location. It dictates:
Spreadsheets are fantastic for storage and calculation, but they lack spatial context. You cannot "see" the geography of a spreadsheet without specialized processing.
Note: KMZ is a zipped KML + images. Google Earth reads this natively.
Best for: Quick, non-sensitive data.
KML, developed originally for Google Earth, has become an OGC standard for representing geographic features: points, lines, polygons, images, and 3D models. A KML file encodes placemarks, styles, and attributes that can be overlaid on 3D Earth browsers. Unlike shapefiles or GeoJSON, KML is particularly accessible to non-experts—double-clicking a .kml file opens Google Earth, instantly visualizing data.