Geospatial Analysis With Python (Vector Data)

Name: Geospatial Analysis With Python (Vector Data)
Rating: 4.3 (58 reviews)

GIS With Python

Created byGaurav Parajuli

Last updated 9/2022

English

English [Auto],

What you'll 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

Course content

2 sections • 15 lectures • 1h 9m total length

Introduction To The Course9:12
You will learn about the introduction to the course, and what you will be learning throughout the course.
Hands On Google Collab5:17
You will be guided towards the basis interface of google collab.
Notebook of this course0:11

Geopandas Installation3:09
Master GeoPandas installation in Python, import geopandas and visualization libraries, and access data via GitHub and Google Drive for geospatial analysis.
Reading Vector Data Using Geopandas3:09
Reading Meta Data Using Geopandas5:11
Exercise-10:06
Map Visualization using geopandas and matplotlib7:22
Exercise-20:04
Writing Data5:06
Import and convert geospatial vector data in Python, then write and save it to formats such as JSON and SSP, with UTF encoding and organized outputs.
Working with attribute data in python geopandas12:42
Explore attribute data in geospatial analysis by extracting a single district from municipality data, computing polygon areas with a proper CRS, and visualizing districts with color-coded maps in geopandas.
Working with geometry in python geopandas12:37
Explore creating and inspecting geometric objects in Python geopandas, including points, lines, and polygons, testing spatial relationships such as containment and overlap, and visualizing results on maps.
Exercise-30:04
Web Map In Python Using Fiona3:05
Closing Remarks2:39

Requirements

A little knowledge of python, some basic concept of vector data. You will learn the remaining in the course.

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.

Who this course is for:

Beginners GIS Enthusiast who want to build out their career in geospatial analysis using python.

Geospatial Analysis With Python (Vector Data)

What you'll learn

Explore related topics

Course content

Introduction3 lectures • 15min

Data Analysis and Visualization12 lectures • 55min

Requirements

Description

Who this course is for: