Machine Learning on Geographical Data Using Python: Introduction into Geodata with Applications and Use Cases Korstanje Joos
Get up and running with the basics of geographic information systems (GIS), geospatial analysis, and machine learning on spatial data in Python. Specifics and difficulties one may encounter when using geographical data are discussed: from coordinate systems and map projections to… Celý popis ↓
Porovnanie cien Machine Learning on Geographical Data Using Python: Introduction into Geodata with Applications and Use Cases Korstanje Joos
Popis Machine Learning on Geographical Data Using Python: Introduction into Geodata with Applications and Use Cases Korstanje Joos
Machine Learning on Geographical Data Using Python: Introduction into Geodata with Applications and Use Cases Korstanje Joos
Get up and running with the basics of geographic information systems (GIS), geospatial analysis, and machine learning on spatial data in Python. Specifics and difficulties one may encounter when using geographical data are discussed: from coordinate systems and map projections to different geodata formats and types such as points, lines, polygons, and rasters. This book starts with an introduction to geodata and covers topics such as GIS and common tools, standard formats of geographical data, and an overview of Python tools for geodata.
Use cases and examples are included. Analytics operations typically applied to geodata are explained such as clipping, intersecting, buffering, merging, dissolving, and erasing, with implementations in Python. The book also focuses on applying more advanced machine learning approaches to geographical data and presents interpolation, classification,
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