We're sorry but this page doesn't work properly without JavaScript enabled. Please enable it to continue.
Feedback

Geospatial analysis using python 101

Formale Metadaten

Titel
Geospatial analysis using python 101
Serientitel
Anzahl der Teile
237
Autor
Mitwirkende
Lizenz
CC-Namensnennung 3.0 Unported:
Sie dürfen das Werk bzw. den Inhalt zu jedem legalen Zweck nutzen, verändern und in unveränderter oder veränderter Form vervielfältigen, verbreiten und öffentlich zugänglich machen, sofern Sie den Namen des Autors/Rechteinhabers in der von ihm festgelegten Weise nennen.
Identifikatoren
Herausgeber
Erscheinungsjahr
Sprache

Inhaltliche Metadaten

Fachgebiet
Genre
Abstract
This workshop is ideal for someone who has recently started using python and exploring the possibilities of it in the GIS industry. This is the beginning of complex spatial scripting Since almost all industries are more or less connected to Location and mapping, it is important to spread awareness and literate developers to understand different aspects of the GIS (Geographic Information System) industry. The first Part of this series focuses on different GIS Data types and how to read them, This includes understanding different data formats such as Shapefiles, GeoJSON, WKT, CSV, TIFF, GeoTIFF, etc.. Users can actually read such files on their computers and be familiar with them. The second part of this series focuses on geospatial analysis with python. Users will first practice working with some core GIS functionalities using GDAL and OGR on the terminal (and later in python). After this, users will be familiarised with the most widely used geospatial python libraries such as pandas, geopandas, fiona, shapely, matplotlib, PySAL, rasterio. Complete Series is divided into the following sub-topics : 1. Introduction and Installation of all Geospatial libraries in computer and in python environment 2. Working with GDAL and OGR capabilities 3. Spatial Operations and Relationships 4. Vector data analysis and visualization 5. Raster Data analysis and visualization 6. Working with Interactive Map in a python notebook Pre-requisite for this workshop: 1. Basic knowledge of python 2. Basic knowledge of GIS and GIS Data formats