Bringing Spatial Data to Python using GeoPandas 🌐

GeoPandas is a powerful Python library that bridges the gap between geospatial data (maps, points, coordinates) and the popular Pandas library for data analysis.

Here's what makes GeoPandas special:

#python #datavisualization

Menggambar batas desa dari 6000an desa dan kelurahan di Aceh dengan GeoPandas

Attempting to plot Nigeria geopolitical map using Python. work in process..

geopandas Nigeria python GIS geospatial naira Oluwaferanmie

Geopandas population density map of Florida. Just for fun.

Sizleri geopandas kütüphanesi ile tanıştırayım. 👌

Seçim Verilerinin Türkiye Haritasında Görselleştirilmesi

urazakgul.github.io/python-blog/po…

🔎 Series: Population Density (No. 1) - South Korea

South Korea’s population density is substantial, with 515.56 people per square kilometer. It contributes to the vibrant urban life that South Korea is known for.

🔧 Tools: Python (Rasterio, Geopandas, Shapely, JenksPy)
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Python Streamlit is terrific for putting together interactive dashboards.

Combined with the geopandas library, streamlit can easily display GIS data points on a map for you.

And we can add in a dropdown for user interaction

Let me show you how!

↓ LINK IN COMMENTS ↓

🔎 Series: Population Density (No. 2) - Turkiye

Turkey's diverse population density blends rural and urban life, fusing European and Asian influences. Istanbul's highest density epitomizes this dynamic cultural blend.

🔧 Tools: Python (Rasterio, Geopandas, Shapely, JenksPy)
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💰 Map: Where are the Billionaires?

This visual tracks billionaire distribution, crucial for policy and investments. High levels signal hubs, low levels, emerging markets. Vital for governments, investors.

🔧 Tools: Python (Pandas, Matplotlib, Geopandas)
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🇮🇹 Series: Topography (No. 2) - Italy

Italy’s topography is a diverse tapestry of mountains, plains, and coastlines. Its highest point, Mont Blanc, towers at 4,810 meters.

🔧 Tools: Python (Rasterio, Geopandas, EarthPy, Shapely)
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Geopandas to shapefile exporter for European parcels? Bet. Your. Ass.

Free resources to learn:

- Python
- Pandas
- NumPy
- Matplotlib
- Seaborn
- Scikit-learn
- TensorFlow
- Keras
- PyTorch
- SQL
- GeoPandas
- Git
- AWS
- Azure
- Google Cloud Platform

Resources below 👇

🔎 Series: Population Density (No. 3) - United Kingdom

The UK’s population density is a testament to its vibrant urban life, particularly in England.

🔧 Tools: Python (Rasterio, Geopandas, Shapely, JenksPy)
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🌐 Geospatial Analytics | KNIME: My Journey from Montoro to Barbate 🏖
🗺 Map out areas of interest
🍤 Discover hidden gems (restaurants, beaches, etc.)
🛣 Visualize the perfect road trip route
📌linkedin.com/pulse/geospati…
#KNIME #DataScience #GeospatialAnalysis #Geopandas

Always plot your data (and check your projections) exhibit N; Vietnamese districts aren't in the ocean.
Kudos to the authors for issuing the correction.
sciencedirect.com/science/articl…

Don't do spatial data work in Stata. Py/R have dedicated libraries.
geopandas.org/en/stable/docs…

HDI heatmap of Brazilian municipalities.

Plot generated using geopandas and matplotlib.

GEOPANDAS.shp

🔎 Series: UNESCO World Heritage Sites (No. 1) - Argentina

Argentina's UNESCO World Heritage Sites reflect its diverse heritage and stunning landscapes, celebrated globally for their beauty and historical significance.

🔧 Tools: Python (Pandas, Geopandas, Shapely)
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Below are results of messing around with geopandas a bit today. Next I'm gonna add a custom color spectrum that ranges from brown to green (yes green will include nuclear and I have a feeling Ontario's IESO will be the greenest most of the time with all the nuke and hydro).