Presenting Spatial Data With Web Maps
A deep dive into map tiles, base maps, map layers and vector data- 21104Murphy ≡ DeepGuide
Combining Open Street Map and Landsat open data to verify areas of green zones
Quick and simple analysis for precise assessment- 24833Murphy ≡ DeepGuide
Identifying Topical Hot Spots in Urban Areas
In this article, I show a quick and easy-to-use methodology that is capable of identifying hot spots for a given interest based on Point of interest (POI) collected from OpenStreeetMap (OSM) using the DBSCAN algorithm of sklearn. First, I will collect the- 22952Murphy ≡ DeepGuide
Proximity Analysis to Find the Nearest Bar Using Python
A few words about spatial data processing- 21748Murphy ≡ DeepGuide
Subway Route Data Extraction with Overpass API: A Step-by-Step Guide
Simplify Geodata Extraction from OpenStreetMaps via the Overpass API- 24131Murphy ≡ DeepGuide
Earth Isn't Flat, and Neither Should Your Voronoi Diagrams Be
A story about precision, unveiling the power of spherical geospatial Voronoi diagrams with Python- 26284Murphy ≡ DeepGuide
Stream Ordering: How And Why a Geo-scientist Sometimes Needed to Rank Rivers on a Map
Dear reader, in this article, I would like to dive into one exciting hydrological topic. I will start with the picture: Disclaimer: this article is written both for geographers who face the problem of ranking river vector layer using geoinformation system- 23854Murphy ≡ DeepGuide
How to read OSM data with DuckDB
A deep dive into OpenStreetMap data structure and how to utilize it in a scalable way- 23918Murphy ≡ DeepGuide
We look at an implementation of the HyperLogLog cardinality estimati
Using clustering algorithms such as K-means is one of the most popul
Level up Your Data Game by Mastering These 4 Skills
Learn how to create an object-oriented approach to compare and evalu
When I was a beginner using Kubernetes, my main concern was getting
Tutorial and theory on how to carry out forecasts with moving averag