Geospatial Analysis With Python

1
Geospatial Analysis With Python
2
Introduction
In this presentation, we have discussed
geospatial analysis using Python and how we, at
GAH, offer the course to aspiring individuals who
wish to make a career in Geospatial Technology.
3
Geospatial Analysis
4
Geospatial Analysis and Python
Geospatial data or GIS data or Spatial data or
geodata is name for the numeric data collected to
identify the geographic location of an object
(physical object), such as a town, a building, a
city, etc. based on the geographic co-ordinate
system.
5
The Geographic Location of the object
6
Geograpahic data is combined with Python
applications
7
Types of Geospatial Analysis done using Python
8
Python is used in different types of Geospatial
Analysis, such as for

• Satellite image feature extraction
• Special data modeling
• Flood risk modeling
• GPS tracking and modeling and more.

9
Different types of Geospatial Analysis
10
Geospatial Python Libraries
There are essential Python libraries that is used
to work with geospatial data. Some of the
important Python libraries include
11
Shapely Shapely helps in creating geometry
objects and manipulate them to calculate the
area, intersection etc.
12
Geopandas It merges the geometry objects of
Shapely, the powerful data frame interface of the
pandas library and the write/read/projection
functions of Fiona in one package.
13
Generally, Shapely and Geopandas are used
together for more accurate geospatial analysis
results.
14
Rasterios It is a go-to Python library used for
raster data handling. Raster iOS allows you to
read or write raster files to NumPy arrays and
manipulate these arrays.
15
GDAL GDAL or Geospatial Data Abstraction Library
is the Python library that allows reading,
writing and manipulating vector and raster data
in several software packages.
16
Scikit learn It is the Python ML library that
allows regression, dimensionality reductions and
classification of geospatial data.
17
Folium Folium allows you to visualize spatial
data on different interactive leaflet maps.
18

• There are many more Python libraries used with
  Geospatial Data, such as
• Rasterstats
• Scikit-image
• Descartes and more.

19
Geospatial analysis skills combined with Python
are critical for our society and economy. When
you learn geospatial analysis using Python, you
upgrade your skillset to a level that allows you
to make a career as a Geospatial Analyst, Remote
Sensing Analyst, Spatial Statistician, GIS
Specialist and Environmental Scientist.
20
So, if you wish to learn Geospatial Analysis
using Python, Geospatial Awareness Hub can help
you in the process. We offer various courses of
Geospatial Education that prepares interested
candidates to make a career in the field of
Geospatial Technology.
21
Thanks for attending

• Geospatial Queries

https//geospatialawarenesshub.com/

• Geospatial Technology

https//geospatialawarenesshub.com/our-services/ge
ospatial-technology/

• Geospatial Education Courses

https//geospatialawarenesshub.com/our-services/ge
ospatial-education-and-courses/
22
(No Transcript)