Machine learning on geographical data using Python : introduction into geodata with applications and use cases /

Get up and running with the basics of geographic information systems (GIS), geospatial analysis, and machine learning on spatial data in Python. 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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Korstanje, Joos (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, NY : Apress, 2023.
Temas:
Machine learning.
Python (Computer program language)
Geodatabases.
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Tabla de Contenidos:
  • Chapter 1: Introduction to Geodata
  • Chapter 2: Coordinate Systems and Projections
  • Chapter 3: Geodata Data Types: Points, Lines, Polygons, Raster
  • Chapter 4: Creating Maps
  • Chapter 5: Basic Operations 1: Clipping and Intersecting in Python
  • Chapter 6: Basic Operations 2: Buffering in Python
  • Chapter 7: Basic Operations 3: Merge and Dissolve in Python
  • Chapter 8: Basic Operations 4: Erase in Python
  • Chapter 9: Machine Learning: Interpolation
  • Chapter 10: Machine Learning: Classification
  • Chapter 11: Machine Learning: Regression
  • Chapter 12: Machine Learning: Clustering
  • Chapter 13: Conclusion.

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