Last week, the forum buzzed with discussions centered around practical GIS challenges and career advice. Members shared resources for enhancing the visual quality of maps, tackled unexpected data processing issues, and debated analytical methods for urban planning. There was also a lively conversation about the evolving landscape of GIS career opportunities, especially looking ahead to 2025.
This Week’s Hot Topics
Where to find subtle terrain textures
This thread is all about finding the right resources for nuanced terrain textures. It’s a great resource if you’re looking to add more depth to your maps. Read more here
My cloud mask turned into a coastline
A member ran into an intriguing issue where their cloud mask data unexpectedly resembled a coastline. The community is pitching in with troubleshooting advice. Read more here
Getting into GIS in 2025
This conversation explores the skills and trends that might shape GIS careers in the near future. It’s a valuable read for anyone considering a career shift or just entering the field. Read more here
Betweenness or closeness for traffic flow
Urban planners and GIS specialists discuss the merits of using betweenness versus closeness centrality in traffic flow analysis. This thread dives deep into practical applications. Read more here
Looking forward to another engaging week of discussions. Until next time!
For ‘enhancing the visual quality of maps’, I’ve had great results in QGIS by giving labels a 0.25 pt white halo and about +10% letter spacing on dark basemaps — tiny changes, big legibility boost… Just watch exports: PDFs can over-thicken halos at low DPI, so test at your target scale before finalizing.
Quick example: I’ve had good luck on the 2025 job hunt by linking a tiny MapLibre demo map hosted on GitHub Pages (free) right in my resume — one page, under 10 MB, plus a README that outlines the analysis steps and tools used. It shows the process behind urban planning work and fits the “evolving landscape of GIS career opportunities” angle; if your data’s private, swap in a synthetic sample and note the method. Map: https://maplibre.org and hosting: https://pages.github.com.
And i’ve been getting better callbacks in 2025 by linking a tiny GeoPandas notebook with an “Open in Colab” badge so reviewers can run it without installs. , Colab timeouts happen, so I pin versions and include a 3–5 MB sample file to keep it snappy.