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28 search results found

Geopandas Tutorial ⭐ 351

Tutorial on geospatial data manipulation with Python

Geospatial ⭐ 318

A Python package for installing commonly used packages for geospatial analysis and data visualization with only one command.

Pygeo Tutorial ⭐ 311

Tutorial of geospatial data processing using python 用python分析时空数据的教程(in Chinese and English )

Geopython ⭐ 241

Notebooks and libraries for spatial/geo Python explorations

Lonboard ⭐ 237

Python library for fast, interactive geospatial vector data visualization in Jupyter.

Data Analysis Using Python ⭐ 215

Data Analysis Using Python: A Beginner’s Guide Featuring NYC Open Data

H3 Pandas ⭐ 175

Integration of H3 with GeoPandas and Pandas

Movingpandas Examples ⭐ 152

Example notebooks illustrating MovingPandas use cases

30 Day Map Challenge ⭐ 61

Maps made as part of the #30DayMapChallenge - mostly in python but also use QGIS and other tools

Python Geopandas Workshop ⭐ 47

In this workshop you will learn about pandas and geopandas by exploring UK Crime Data in a Jupyter notebook

Python Geospatial Fundamentals ⭐ 43

D-Lab's 6 hour introduction to working with geospatial data in Python. Learn how to import, visualize, and analyze geospatial data using GeoPandas in Python.

Geowrangler ⭐ 40

🌏 A python package for wrangling geospatial datasets

Coronavirus Ds ⭐ 26

Jupyter notebooks and python scripts for investigating the 2019 coronavirus outbreak

Geospatial Data Analysis Python ⭐ 21

This repo contain the most common tools used in geospatial analysis using python!

A high-level Python framework to evaluate the skill of geospatial datasets by comparing candidates to benchmark maps producing agreement maps and metrics.

California Fire Zone Analysis ⭐ 14

A Los Angeles Times analysis of California buildings within fire hazard zones

Lane Marking Detection ⭐ 14

This is the final project for the Geospatial Vision and Visualization class at Northwestern University. The goal of the project is detecting the lane marking for a small LIDAR point cloud. Therefore, we cannot use a Deep Learning algorithm that learns to identify the lane markings by looking at a vast amount of data. Instead we will need to build a system that is able to identify the marking just by looking at the intensity value within the point cloud.

Python For Data Science ⭐ 13

Repository for participants of the "Python for data science" training

Stormwater Map Analysis Nyc ⭐ 12

New York City Flood Risk: Analyzing New York City's Stormwater Flood Maps Using Python.

Opendata_thematic Mapping ⭐ 11

Thematic mapping technique with Swiss geodata. Python port of a mapping project originally created by Timo Grossenbacher and Benja Zehr.

Portfolio ⭐ 11

Self-taught data analyst.

Covid 19 Map ⭐ 11

US county level interactive map of Covid-19 cases

Geospatial Data Analysis Cn ⭐ 10

Python地理信息数据教程中文版（GeoPandas、GIS）

OSMuf: Analyse urban form with Python and OpenStreetMap. Quantitative analysis of urban blocks and built density. Built on OSMnx.

Python For Geospatial Analysis ⭐ 7

A crash course into using Python for geospatial analysis.

Altair Election Maps Example ⭐ 6

An experiment in creating precinct-level election results maps using Python's Altair library

Proof of concept for calculating off-trail isochrones

Bike Mapping ⭐ 5

A project looking into processing, cleaning, and visualizing huge open datasets, by exploring NYC Bike Share Data.

Mapvisualizations ⭐ 5

Helper repo for the 'Map-based Visualizations in Python' tutorial series on Medium.

Nyc Flood Layers ⭐ 5

A Collection of Flood Hazard Layers for New York City.

Geopackage_tutorial ⭐ 5

Quick tutorial for reading and writing GeoPackages

Greedy (topological) coloring for GeoPandas

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