Polygon - TX: Difference between revisions
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A | A Polygon is a shape on a map that links a number of individual grid references. A Polygon is useful for providing information or data about [[Primary_Materials_-_TX|primary material acquisition (PMA)]]. | ||
[[File:Polygon drawn using GoogleEarth.png|frameless|600px]] | |||
Polygons are defined by a set of by '''latitude''' and '''longitude''' coordinates, in the order the shape should be drawn, where the last coordinate is the same as the first. Below an example: | |||
[0.731300,46.605612 -0.191250,46.704963 -0.191250,46.846894 0.177770,46.988824 0.447438,46.960438 0.589369,46.804315 0.688721,46.832701 0.731300,46.605612 0.731300,46.605612] | [0.731300,46.605612 -0.191250,46.704963 -0.191250,46.846894 0.177770,46.988824 0.447438,46.960438 0.589369,46.804315 0.688721,46.832701 0.731300,46.605612 0.731300,46.605612] | ||
You can draw polygons and export them as KML files using [https://earth.google.com/ Google Earth] | |||
==Related sites== | ==Related sites== | ||
*[https://www.ogc.org/standard/kml/ Open Geospatial Consortium (OGC)] | *[https://www.ogc.org/standard/kml/ Open Geospatial Consortium (OGC)] | ||
* [https://h3geo.org/docs/ Uber H3 geospatial indexing system that partitions the world into hexagonal cells.] | * [https://h3geo.org/docs/ Uber H3 geospatial indexing system that partitions the world into hexagonal cells.] | ||
[[Category: | [[Category:Taxonomy]] | ||
Latest revision as of 08:19, 7 June 2024
A Polygon is a shape on a map that links a number of individual grid references. A Polygon is useful for providing information or data about primary material acquisition (PMA).
Polygons are defined by a set of by latitude and longitude coordinates, in the order the shape should be drawn, where the last coordinate is the same as the first. Below an example:
[0.731300,46.605612 -0.191250,46.704963 -0.191250,46.846894 0.177770,46.988824 0.447438,46.960438 0.589369,46.804315 0.688721,46.832701 0.731300,46.605612 0.731300,46.605612]
You can draw polygons and export them as KML files using Google Earth
