GIS With Python
What you will learn
Basic of Geopandas
Using Geopandas library to do geospatial analysis
Use of matplotlib library to visualize the map.
Working with geometry and attribute of vector data
Description
This “Geospatial Analysis With Python” is a beginner’s course for those who want to learn the use of python for gis and geospatial analysis. This course will cover the basics of geopandas for beginners for geospatial analysis, matplotlib, and shapely along with Fiona. We will only do vector data analysis using python in this course. You all might have known about GIS analysis with different software but this is a new approach to using python for gis analysis using geopandas library.
GeoPandas is an open-source project to make working with geospatial data in python easier. It can extend the way we have been using pandas with specialty in geodata.
You will learn the following topics in this course:
- Introduction to geospatial data and geopandas
- Hands on google collab
- Geopandas Installation
- Reading Vector Data Using Geopandas
- Reading Meta Data Using Geopandas
- Map Visualization using geopandas and matplotlib
- Writing Data
- Working with attribute data in python geopandas
- Working with geometry in python geopandas
- Web Map In Python Using Fiona
Lets get deep into the topics:
Geopandas: GeoPandas is an open source project to make working with geospatial data in python easier. GeoPandas extends the datatypes used by pandas to allow spatial operations on geometric types. Geometric operations are performed by shapely. Geopandas further depends on fiona for file access and matplotlib for plotting.
Matplotlib: Matplotlib is a plotting library for the Python programming language and its numerical mathematics extension NumPy. It provides an object-oriented API for embedding plots into applications using general-purpose GUI toolkits like Tkinter, wxPython, Qt, or GTK.
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