Monthly Edition
We’re not too shy to admit it: we have a soft spot for geospatial data analysis.
Why? Let us count the ways! It’s a subfield of Data Science that brings together multiple disciplines and practices, from geography and programming to cartography and geometry. Geospatial projects connect the digital and physical realms with elegance, and help us better understand the world we inhabit. They also have the power to visualize and make concrete some of the biggest challenges we face today, from social inequality to climate change. (Also, who doesn’t like a beautiful map?)
This month, we’re thrilled to share a selection of recent posts that cover a wide range of geospatial approaches and methods. Before we leave you to your reading, we’d like to thank our community members who’ve recently become Medium members. Thank you so much for your support.
TDS Editors Highlights
-
How to Plot a Route on a Map If you’re new to the field and want to ease your way into more advanced applications of Geospatial data, a great place to start is Hennie de Harder‘s accessible tutorial on plotting routes in Python. (September 2022, 5 minutes)
- The Ultimate Beginner’s Guide to Geospatial Raster DataRasters are a key building block in many workflows that rely on geographic data. Mattia Gatti‘s debut TDS post is a thorough, beginner-friendly introduction to this convenient, grid-based data format. (October 2022, 12 minutes)
- Simple Yet Stunning and Meaningful Geospatial Visualization Using Happiness and Conflict DataUsing public data and open source tools, Lan Chu demonstrates the power of maps (both static and interactive) to tell stories about people and communities. (May 2022, 7 minutes)
- Unveiling Fishing Activity Risk to Marine Megafauna with Geospatial TechnologiesA long-time practitioner of data science in the service of environmental conservation, Bryan R. Vallejo walks us through a recent project that leveraged geospatial technology to track the well-being of whale sharks in the Galapagos Islands. (October 2022, 7 minutes)
- Spatial Data Science: Javascript & PythonWorking with Geospatial Data occasionally requires specific tools and skills. Sutan has been covering these in many recent articles, including this standout, which focuses on the most-used programming languages (Python, JavaScript, and HTML) in geospatial analysis. (August 2022, 10 minutes)
Original Features
Our latest selection of Q&As, podcast episodes, and reading recommendations.
- Towards Data Science Podcast Finale: The future of AI, and the risks that come with it. In the grand finale of the TDS Podcast, host Jeremie Harris reflects on what lies ahead for AI and how researchers and companies should ensure new developments are safe and ethical.
- Discover New and Exciting Voices on TDS. From choosing the right large language model for your project to exploring the intersection of data science and archaeology, we invite you to explore the excellent work our newest authors have been publishing.
Popular Posts
In case you missed them, here are some of last month’s most-read posts on TDS.
- 5 Python Projects to Automate Your Life: From Beginner to Advanced, by Frank Andrade
- The 10 Best Data Visualizations of 2022 by Terence Shin
- The 5 Fundamentals You Need to Efficiently Self-Teach Data Science by Madison Hunter
- Quantum Deep Learning: A Quick Guide to Quantum Convolutional Neural Networks by Holly Emblem
- Ultimate Guide to Statistics for Data Science by Md. Zubair
- A Collection of Must-Know Techniques for Working with Time Series Data in Python by Leonie Monigatti
Our community was fortunate to welcome a new cohort of authors in October – they include Eden Zohar, Karen Asmar, Florent CATTANEO, Michio Suginoo, Elías Snorrason, Justin Mackie, Partha Sarkar, James Isbell, João António Sousa, Omer Ginosar, Ian Henderson, Taylor Jensen, Gordon Davis, Sebastien Peytrignet, Mattia Gatti, Shubhankar Rawat, Ido Greenberg, Erich Henrique, Nico Westerbeck, Max Cembalest, Oliver Kramer, Varatharajah Vaseekaran, Nuri, and Helen McKenzie, among others. If you, too, would like to publish your work with us, we’d love to hear from you.
See you next month!