How Geofencing Is Shaping the World Around You
Geofencing is a location-based technology, that is opening up a new world of possibilities- 26725Murphy ≡ DeepGuide
What Is a Satellite Image Time Series?
A foundation for current and future global challenges- 26840Murphy ≡ DeepGuide
Generate a 3D Mesh of a Geographic Area
From a digital elevation model to a 3D mesh- 21558Murphy ≡ DeepGuide
Speed up your Geospatial Data Analysis with R-Trees
Learn how to drastically boost the performance of spatial searches- 25604Murphy ≡ DeepGuide
Presenting Spatial Data Interactively with Story Maps #2
Telling stories and insights with interactive maps in pages.- 25367Murphy ≡ DeepGuide
Spatial Data Engineering with Typescript
Establishing data pipelines towards automated spatial data science- 24169Murphy ≡ DeepGuide
Assessing Urban Green Equality Using Vienna's Open Data Portal
Despite their many advantages, accessing nature and green spaces is getting increasingly difficult in highly urbanized areas. Some fear...- 20571Murphy ≡ DeepGuide
The Language of Locations: Evaluating Generative AI's Geocoding Proficiency
An applied project detailing the performance of LLMs for geocoding, in comparison to modern geocoding APIs.- 29232Murphy ≡ DeepGuide
Exploring Large-scale Raster Population Data
Visualizing geospatial population data across multiple scales: global, country-level, and urban- 26968Murphy ≡ DeepGuide
The World Map with Many Faces - Map Projections
The Earth is more or less a sphere, certainly a 3D object (despite some challenges even this), while our printed maps and digital screens are 2D. The intermediate step that transforms the sphere into our 2D maps, whether it be a cartographic atlas or a fa- 21953Murphy ≡ DeepGuide
Urban Accessibility - How to Reach Defibrillators on Time
In this piece, I combine earlier work on urban accessibility or walkability with open-source data on the location of public defibrillator devices. Additionally, I incorporate global population data and Uber’s H3 grid system to estimate the share of- 30083Murphy ≡ DeepGuide
Do All the Roads Lead to Rome?
I recently came across with an exciting dataset titled Roman Road Network (version 2008) on Harvard’s Dataverse: the historical road networks of the Roman Empire in a perfect GIS format! Additionally, I have been working on a project about public tr- 29161Murphy ≡ 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- 22991Murphy ≡ DeepGuide
Exploring a Global Wildlife GIS database
Using Python to characterize the International Union for Conservation of Nature (IUCN)'s geospatial data base.- 28751Murphy ≡ DeepGuide
Deep Dive into ESA's Sentinel API
How to acquire, analyze, and visualize satellite images using Python- 22815Murphy ≡ DeepGuide
My First Week of the #30DayMapChallange
Since 2019, the Geographic Information System (GIS) and spatial analytics community have been quite busy each November – thanks to a fun challenge called the #30DayMapChallange. Each year, this challenge has a thematic schedule, proposing a topic th- 21769Murphy ≡ DeepGuide
My Second Week of the #30DayMapChallange
Since 2019, the Geographic Information System (GIS) and spatial analytics community have been quite busy each November – thanks to a fun challenge called the #30DayMapChallange. Each year, this challenge has a thematic schedule, proposing a topic th- 25488Murphy ≡ DeepGuide
Navigating the Cartographic Challenge: Halfway Through the #30DayMapChallenge
From Haunted Locales to Political Patterns: A Mapping Journey Through Data and Design with Observable Plot- 22098Murphy ≡ DeepGuide
My Third Week of the #30DayMapChallange
Since 2019, the Geographic Information System (GIS) and spatial analytics community have been quite busy each November – thanks to a fun challenge called the #30DayMapChallange. Each year, this challenge has a thematic schedule, proposing a topic th- 22508Murphy ≡ DeepGuide
Spatial Interpolation in Python
Using the Inverse Distance Weighting method to infer missing spatial data- 22935Murphy ≡ DeepGuide
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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