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General Introduction To GIS Analysis With Geopandas Using Python || Install Geopandas || Python
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Writing a new Shapefile is also something that is needed frequently.
Geometries in Geopandas
Geopandas takes advantage of Shapely’s geometric objects. Geometries are stored in a column called geometry that is a default column name for storing geometric information in geopandas.
Creating geometries into a GeoDataFrame
Since geopandas takes advantage of Shapely geometric objects it is possible to create a Shapefile from a scratch by passing Shapely’s geometric objects into the GeoDataFrame. This is useful as it makes it easy to convert e.g. a text file that contains coordinates into a Shapefile.
One really useful function that can be used in Pandas/Geopandas is .groupby().
Finally after that we can use our output in Quantum gis, Arcmap and more on for different analysis.
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USGS data downloading tutorial video link:
Fire Risk Assessment video link:
Water Delineation Tutorial link:
Georeferencing On ArcMap:
Geometries in Geopandas
Geopandas takes advantage of Shapely’s geometric objects. Geometries are stored in a column called geometry that is a default column name for storing geometric information in geopandas.
Creating geometries into a GeoDataFrame
Since geopandas takes advantage of Shapely geometric objects it is possible to create a Shapefile from a scratch by passing Shapely’s geometric objects into the GeoDataFrame. This is useful as it makes it easy to convert e.g. a text file that contains coordinates into a Shapefile.
One really useful function that can be used in Pandas/Geopandas is .groupby().
Finally after that we can use our output in Quantum gis, Arcmap and more on for different analysis.
Follow us on Social Media:
Study Area Mapping:
Landuse Land Cover link:
Landslide Assessment video link:
USGS data downloading tutorial video link:
Fire Risk Assessment video link:
Water Delineation Tutorial link:
Georeferencing On ArcMap:
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