Geospatial data analysis with python

Partner: Udemy
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Description: Geospatial data is also known as spatial data. It contains the locational information of the things or objects. In this course, we are going to read the data from various sources (like from spatial database) and formats (like shapefile, geojson, geo package, GeoTIFF etc), perform the spatial analysis and try to find insights for spatial data. In this course, we lay the foundation for a career in the Geospatial community. Here is the list of topics that I covered in this course,Installation of required geospatial libraries (GDAL, GeoPandas, rasterio, fiona, shapely, pandas, numpy etc)Reading and Writing the spatial data from various sources/formatsVisualization of geospatial data using pythonWorking with the attribute table and geometries Resampling, Reprojection, and Reclassification of satellite data Mathematical operation with RasterNDVI calculation using NIR and RED band Here are the introductions to the main topics that are covered in this course:GeoPandas: It is the open-source python package for reading, writing and analyzing the vector dataset. It extends the datatypes used by pandas to allow spatial operations on geometric types. It further depends on fiona for file access and matplotlib for visualization of data.Rasterio: It is a GDAL and Numpy-based Python library designed to make your work with geospatial raster data more productive, and fast. Rasterio reads and writes raster file formats and provides a Python API based on Numpy N-dimensional arrays and GeoJSON.Shapely: It is the open-source python package for dealing with the vector dataset.Fiona: It can read and writes geographic data files and thereby helps Python programmers integrate geographic information systems with other computer systems. Fiona cont
Category: IT & Software > Other IT & Software > GIS
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Price: 49.99
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Source: Impact
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