Site Suitability Analysis using Multi-Criteria Evaluation (MCE) in GIS A practical workflow for university GIS projects using QGIS and ArcGIS Pro Site suitability analysis is one of the most useful applications of GIS because it helps researchers identify locations that best meet a set of environmental, economic, technical, and social requirements. This guide follows a … Read more
How to Map Climate Change Data: Working with NetCDF Files in QGIS & ArcGIS Pro 1. Introduction: What Are NetCDF Files and Why Are They Used in Climate Science? To successfully Map Climate Data NetCDF QGIS ArcGIS Pro, researchers rely on large volumes of data collected or modelled across different locations and time periods. Researchers … Read more
LiDAR Data in GIS: 5 Steps to Create Digital Surface Models (DSM) Introduction LiDAR (Light Detection and Ranging) is a remote-sensing technology that measures the distance between a sensor and objects on the Earth’s surface using laser pulses. A LiDAR survey can produce millions of three-dimensional points containing X, Y, and Z coordinates, where X … Read more
Zonal Statistics in GIS: 4 Steps to Extract Raster Data When completing spatial analysis lab assignments using zonal statistics in GIS, university students frequently encounter a common challenge: summarizing continuous raster data (such as digital elevation models, precipitation surfaces, satellite vegetation indices, or land surface temperatures) across discrete vector polygon boundaries. Whether you need to … Read more
Clip Raster and Vector GIS Layers: 5 Easy Steps When starting a GIS lab assignment, knowing how to clip raster and vector GIS layers down to your specific study boundary is a fundamental skill. However, working with a state-wide road vector file or a national Digital Elevation Model (DEM) can severely slow down processing speeds. … Read more
OLS vs GWR Spatial Regression: Beginner’s Guide In advanced spatial analysis coursework, standard linear regression models often fall short when applied to geographic data. If you are examining housing prices, crime rates, or species distributions across a landscape, assuming that relationships between variables remain uniform everywhere can lead to misleading conclusions. Mastering OLS vs GWR … Read more
Demographic Analysis in GIS: 5 Steps to Map Census Data Performing demographic analysis GIS allows you to turn census tables into meaningful maps showing population, income, age, housing, poverty, education, and other socioeconomic patterns. For university GIS assignments, however, the hardest part is often not the mapping itself—it is getting the tabular data to join … Read more
Calculate Slope and Aspect in GIS: 5 Steps for DEM Analysis When tasked with spatial modeling or environmental analysis in university GIS labs, learning how to calculate slope and aspect GIS workflows correctly is essential. Digital Elevation Models (DEMs) store raw elevation data, but deriving terrain steepness (slope) and surface direction (aspect) reveals critical geographical … Read more
Buffer Analysis in GIS: Step-by-Step Proximity Mapping Buffer analysis in GIS is one of the most useful proximity-analysis techniques for university GIS assignments. It allows you to create zones at specified distances around points, lines, or polygons and then investigate which features fall inside those zones. For example, you might need to create a … Read more
Getis-Ord Gi Hot Spot Analysis GIS Guide: 5 Steps When examining spatial distributions of phenomena such as crime events, disease outbreaks, traffic accidents, or environmental contamination, visual inspection of point locations can easily be deceiving. A map showing dense clusters of points might simply reflect underlying population density rather than a true statistical anomaly. Performing … Read more