Viewing data from the City of Vancouver Open Data Portal in Google Earth.ĭefine information like the geometry type, altitude information, and opacity. points, lines, polygons), navigation tree (on the left), and the balloons that pop up when someone clicks a feature. At this step, you’ll also define the geometry (e.g. KML requires that each node has a unique ID. Now it’s time to define the KML properties. This might mean you’ll need to reproject your data to this system. To be precise, it’s in LL-WGS84 (EPSG:4326). KML data is always in a lat-long projection.
#OGR2OGR KML TO CSV FULL#
At this step, you need to extract the full schema, including geometry, attributes, and metadata. Whatever your source, it’s possible to convert it to KML. Maybe you’re trying to combine more than one format, like Esri Shapefile and raster imagery. You might be coming from other GIS or XML-based data, CAD drawings, databases, tables/spreadsheets, a web format, or any number of other sources. See also: Getting Started with KML in FME.Here are the 6 components of a KML conversion workflow. You’re probably envisioning a really impressive scene for your data-a time-lapsed pattern analysis, or artistically styled points and polygons, or a real-time feed of every San Francisco segway tour.īy building a data integration workflow in FME, you can transform virtually any data, style it, and more. Though best known for its use by Google Earth, KML is in fact an OGC format, which means it adheres to some pretty spiffing international standards. Various KML documents and images can be compressed into a KMZ archive. KML data can be stored in a single file or a directory of files. I’m sure its XMLness means other good things too, but you’ll have to ask Don about that.
Because it’s XML-based, KML uses nested elements and attributes, making it an intelligent, flexible way to represent GIS information.
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