Satellite imagery for dummies.

High-level geospatial data visualization library for Python.

MicaSense RedEdge and Altum image processing tutorials

Display GeoTIFFs and soon other types of raster on your Leaflet Map

Extra functionality for leaflet R package.

Official repo for the #30DayMapChallenge data visualization project. Open to everyone!

A Python tool to analyze and display Strava activity data.

Urban Computing Foundation Charter

Prototype toolkit for sustainable urban design at the speed of thought.

Get information about the potential impacts of tropical storms in the United States

Streamlit Component for rendering Folium maps

In this dataset, we will try to visualize different aspects of immigrants visiting to Canada and all over the world, I have tried to make most effective and ad-hoc visualizations to answer some of the intriguing questions. I have used Advanced Visualization Technques.

Exploring the effect of COVID-19 in air pollution by using satellite data

A walkthrough of tutorials I made for working with geospatial data in Python. Includes my evaluations of Python geospatial libraries, tools and packages.

Geospatial and Exploratory Analysis of Starbucks Locations

This Problem Data set of San Francisco Contains information about the crime in San Francisco, We are going to analyze the data, Visualize the data using folium maps for geographical understanding. In other words It is called Geo spatial Mapping. This Problem is the final assignment for Coursera and IBM's Data Visualization Course.

This is a Repository made for Coursera Assignments, and Tutorials which includes many interesting plots such as waffle charts, folium charts, chloropeth charts etc.

A class that generates a hexagon grid in longitude and latitude

An exploratory analysis into the reported incidents of missing migrants.

The World Happiness Report is a landmark survey of the state of global happiness. The first report was published in 2012, the second in 2013, the third in 2015, and the fourth in the 2016 Update. The World Happiness 2017, which ranks 155 countries by their happiness levels, was released at the United Nations at an event celebrating International Day of Happiness on March 20th. The report continues to gain global recognition as governments, organizations and civil society increasingly use happiness indicators to inform their policy-making decisions. Leading experts across fields – economics, psychology, survey analysis, national statistics, health, public policy and more – describe how measurements of well-being can be used effectively to assess the progress of nations. The reports review the state of happiness in the world today and show how the new science of happiness explains personal and national variations in happiness.

I am making this Repository to post all my projects done using Power BI. Power BI is an analytical tool which helps to modify data and Visualiza data in an Interactive and Easy Way.

Comet Time Series Toolset for working with a time-series of remote sensing imagery and user defined polygons

practice using Python for geospatial analysis

Training materials in Python for geoscientists

Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

An Alpine based derivative for CrunchyData pg_tileserv

Serves as a basis for the homework in the "Geospatial Vision and Visualizations" class at Northwestern University. For example, the three homeworks show how to detect a smear on a camera or fuse several satellite images to a single one.