Spatial Thoughts

Want to level-up your #Python skills? We are launching a 30-day free challenge to learn Mapping and Data Visualization with Python. You will learn how to create charts and maps, work with large raster and vector datasets, create interactive maps, dashboards, and data-driven apps. All you need to do is spend 30 minutes every day watching a video and working on a coding exercise. Share your progress with the hashtag #PythonDatavizChallenge. Ready? Get started at ➡ https://lnkd.in/dBKAvgge ---- Week 1 and 2 videos are already live. ---- Day 15 Interactive Maps with Folium https://lnkd.in/dvfbeF65 Day 16 videos will be released on 29 October 2024

New Post: Tiling Large Exports in Google #EarthEngine with best practices on dealing with very large images. The post demystifies some of the advanced concepts in GEE such as projections, resampling and nodata masks along with a reproducible example for creating perfectly aligned gridded exports ➡ https://lnkd.in/dUxAgYN9

Here is a map of the current mining claims in Ontario that I created today entirely using Python code in a Jupyter Lab Notebook. I used the geopandas, matplotlib and contextily libraries to manipulate some geospatial data, calculate the area of the claims and fetch an open-source basemap. This is the first map I've created entirely in Python using open-source libraries! Stay tuned for the historical maps of mining claims in Ontario from the past ten years. Thanks to Spatial Thoughts for the excellent lessons you are providing in your 30-day #pythondatavizchallenge course! #python #opensource #jupyterlab #geopandas #geospatial

🌍 Last week, we had the pleasure of hosting Ujaval Gandhi from Spatial Thoughts in Tartu for a short course on Applied Remote Sensing with Google #EarthEngine, as part of our URBANGIS and GEM Erasmus Mundus MSc program! 🛰💻 Our students gained invaluable skills in using Google Earth Engine for remote sensing analysis and learned how to publish their results as apps. It was an incredible opportunity to learn from one of the leading experts in GEE! 😊👏 Additionally, Ujaval delivered an insightful talk on “Building a Career with Open-Source Technologies,” packed with excellent advice for young professionals looking to carve out their path in the field. 🤩 Thank you, Ujaval, for your expertise and inspiration! 🙏 #RemoteSensing #Geospatial #Education #OpenSource

🌍 30 Days of Mapping and Data Visualization with Python: A Journey! 🚀 Day 1: Introduction I am kicking off an exciting 30-day challenge to #master mapping and #data #visualization with #Python! 🌟 This challenge will covers everything from #creating stunning #charts and #animations to #crafting insightful #maps. Can't wait to dive into this! 📊 Day 2: #Notebooks and #Datasets Working with #Google #Colab for all #exercises no installations needed! 🚀 Google Colab gives me free cloud #resources to run #Python #code, which is perfect for #managing data and #visualizing it in #real-time. That day, I explored #basic #matplotlib features and #created a #plot displaying two #points with unique symbols and colors. 🔴🟢 📈 Day 3: Creating Charts Used #Pandas to create interactive #charts from a #London crime #dataset. From #pie charts to #bar graphs, I am seeing how data #visualization brings insights to life. The day’s #challenge: #visualize the #trend of bicycle thefts using a #line #chart. 🚲📉 🗺️ Day 4: Creating Maps Next up, #GeoPandas! Using #census data, I created a #choropleth #map showing #population #density. This involved some data wrangling—merging #shapefiles with population data and calculating population #density. #Visualizing #these stats on a map feels powerful! 🌐📊 🗺️ Day 5: Using #Basemaps Mapped the path of the 2017 Solar Eclipse with #Contextily, a #powerful tool for #overlaying data on #basemaps. Context helps! Trying out different #basemaps like #Esri.WorldTerrain and #CartoDB.Positron really gave me new #perspectives on #visualizing #geographical data. 🌘🌍 🔥 Stay tuned for more as I continue this 30-day challenge! Special thanks to Spatial Thoughts for the guidance. Let’s keep learning and growing! 💪 #PythonDatavizChallenge #30DaysChallenge #DataScience Feel free to connect and share your insights on mapping and data viz! 🎉

On day three of the #PythonDatavizChallenge, I dove into creating charts and exploring the customizations available through Matplotlib and Seaborn. It was an exciting journey enhancing visualizations with style and flair! Huge thanks again to Spatial Thoughts for organizing this fantastic challenge! If you’re interested in joining, check out the link! https://lnkd.in/gGqYJRKu #SpatialThoughts #Python #Matplotlib #Seaborn #GoogleColab #pythondatavizchallenge

On the second day of the #PythonDatavizChallenge, I learnt about Google Colab and the foundations of Matplotlib, the most popular Data visualization library in the Python ecosystem. I've solved the exercise and had a lot of fun! Thanks, Spatial Thoughts for this amazing challenge! If you want to join it, follow the link https://lnkd.in/dc6kMSfd

Handy plugin "OSMInfo" to get a feature from the base map to a vector layer in #QGIS.

Super informative! QGIS expressions are how I started learning programming. Ujaval Gandhi and his blog Spatial Thoughts are a great resource to get started.

One of our favourite modes of teaching offline workshops is a “build-a-thon” where we not only teach the concepts and methods around a specific technology but help the participants apply these and build projects with our mentorship. Thank you WRI India for organising the workshop and hosting us.