He has done master's degree in Statistics and is very passionate about data science & has expertise in ARC GIS, Qgis, Python, and R.
Visualizations
from 2000-2022 data source: emdat, Visualization by Sanrachna Foundation Between 2000 and 2022, 92 Storms affected India. * There were two type of storms a) Convective Storm, b)Tropical Cyclone. * There were total 46(50%) Convective Storm, 40(43.47%) Tropical Cyclone, and 6(6.52%) were unknown.
Abstract "Opinion pieces"
Deepak Singh is giving a brief on various python libraries. Since many (or most) of the many GIS Software programs (such as ArcGIS, QGIS, PostGIS, etc.) offer an interface to do analysis using Python scripting, Python is an incredibly helpful language to learn for GIS.
Data Science
There are multiple arithmetic operations in R, such as Addition, Multiplication, Subtraction, and Division. You can store numerical value in a variable and do basic operations or simply write numerical value and calculate it.
Data Science
R is an open-source programming language and software used for statistical computing, analysis, and data visualization. In this piece, we will explain how R handles different data types and various operations on data.
Data Science
Vegetation Index
Health
Avian Influenza (Bird Flu) in India
ClimateChange
Extreme weather events such as thunderstorms, heavy rains, heatwave, cold wave, cyclone, floods, and drought have a significant impact on the environment. A cold wave is a prolonged period of freezing weather in which a sudden invasion of frigid air over a vast area takes place. Cold waves are most
Data Science
A Geographic Information System (GIS) is the system that supports virtually any operation involving geographic information to capture, edit, manipulate, analyze, model, visualize, publish, and store. Geoinformation Science (GI Science) addresses the fundamental issues of GIS, forms the knowledge base that can be used by GIS, and the research that
Data Science
Geographically weighted regression (GWR) is a form of spatial analysis. It is a popular method which has been introduced in 1996 in the geographical literature drawing from statistical approaches used for curve fitting and smoothing application. GWR is a technique that considers non-stationary variables (e.g., climate, demographic factors, physical