Geospatial Analysis With Python (Vector Data)

About Geospatial Analysis With Python (Vector Data)

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.