Spatial Analysis

The spatial analysis category looks at data manipulation techniques in GIS.

Measuring Vegetation from Satellite Imagery with NDVI

Mark Altaweel

Normalized difference vegetation index (NDVI) is a remote sensing technology that measures vegetation kinds and growth by measuring vegetation fingerprints.

GIS and Stratified Heterogeneity

Mark Altaweel

A method to measure uneven distribution of landscape or population features in a given space is stratified heterogeneity.

Teaching Math with GIS

Liam Oakwood

GIS has enormous potential to be used for teaching mathematics to students.

The new Firelight Detection Algorithm (FILDA) detects the start of a fire 11 hours earlier than the standard algorithm, Active Fire Application Related Product (AFARP). Maps: Joshua Stevens, using data from Polivka, T. N., et al. (2016).

A New Algorithm to Find Wildfires When It’s Cloudy

Elizabeth Borneman

New technology called the Firelight Detection Algorithm, or FILDA, can help detect wildfires at night even when the skies are cloudy.

Spatial distributions of (a) language richness, (b) mammal richness and (c) elevation across the New Guinea mainland. From Turvey & Pettorelli, 2014).

GIS and Spatial Autocorrelation

Mark Altaweel

Spatial autocorrelation statistics have become incorporated into commonly used packages such as ArcGIS as well as open source software such as GRASS and QGIS.

GIS and Topic Modeling

Mark Altaweel

Topic modeling is a thriving field in humanities and social sciences, with GIS being use to identify trends in social media.

ZIP Code boundaries overlayed with the City of Flint's boundary. Map: Richard Casey Sadler.

How the ‘Quirky Geography’ of ZIP Codes Obscured Flint’s Lead Problem

Caitlin Dempsey

Richard Casey Sadler, an assistant professor at Michigan State University discusses how the Michigan Department of Health and Human Services' reliance on using ZIP Code level data obscured the link between Flint residents and lead exposure.

A Global Landslide Potential Map That Updates Every 30 Minutes

Caitlin Dempsey

Researchers from NASA have developed a global landslide susceptibility model that maps out areas in danger of potential landslides every thirty minutes.

Understanding Ocean Wave Patterns from Satellite Imagery of Sun Glitter

Caitlin Dempsey

Researchers have developed a method by which to translate satellite imagery of sun glitter on the water into data about the direction, height and movement of waves.

GIS and Obesity

Mark Altaweel

GIS has been used to measure the built environment and its relationship to obesity.

GIS and the Geography of Religion

Mark Altaweel

GIS has become an important historical and contemporary analytical tool used to explain past and current social trends shaping and being shaped by religions.

Analyzing Eye Movement For Better Map Design

Mark Altaweel

With new and growing areas where eye monitoring and GIS can be utilized together, big data techniques will be a leading way in which visual and analytical understanding of spatial cognition will be understood in coming years.

Using Visual Search to Find Geographically Similar Features on Satellite Imagery

Caitlin Dempsey

Descartes Labs recently unveiled its GeoVisual Search application which uses machine learning to visually search satellite imagery for similar geographic features.

Tracking Deforestation by Measuring the Distance to the Nearest Forest

Elizabeth Borneman

Using satellite images, researchers established a method of calculating the distance between any point in the continental United States and the nearest forested area.

How GIS Can Help With Football Game Analysis

Mark Altaweel

Football, or Soccer, is a spatial strategy game involving tactical player movements, which can be analyzed effectively using Geographic Information Systems (GIS).

Creating Non-contiguous Cartograms

Caitlin Dempsey

Non-contiguous cartograms are a type of area cartogram. In a non-contiguous cartogram, the features are not connected and enlarge or shrink based on a quantified value.

Using GIS to Analyze the Death of Distance Hypothesis

Mark Altaweel

Recent studies using GIS show that geographic factors continue to play a strong role in regulating social, economic, and general Internet use despite technologies that was purported to mitigate the effect of distance.

Using Machine Learning and Satellite Imagery to Estimate Corn Crop Production

Elizabeth Borneman

Descartes Lab, a start-up organization, has created crop production analysis that uses millions of satellite images and machine learning to produce accurate data about the production of agricultural crops.

Plant species richness for the Australian continent. From: Evolutionary speed limited by water in arid Australia, Goldie et al., 2010.

Using GIS to Understand Species Evolution

Mark Altaweel

Studies have used spatial modeling and GIS approaches to understanding species evolution.

Flood susceptibility map from Tehran et al., 2015.

GIS and Innovations in Machine Learning

Mark Altaweel

Machine learning or artificial techniques has been rapidly transforming many areas related to GIS and spatial applications

Deforestation within Tambopata National Reserve between July (left panel) and September (right panel) 2016. Red circles highlight areas of major deforestation. Source: MAAP.

Using Remote Sensing to Understand the Correlation Between Deforestation and Forest Fires

A.J. Rohn

MAAP has used remote sensing to discover a correlation between deforestation and forest fires in Tampbopata, Peru.

REACH uses GIS to map out need down to the household in Jamaica. From Westrope, 2013.

How Spatial Modeling Can Help with Refugee Aid

Mark Altaweel

GIS is being used to address the spatial problem of allocating resources and constructing refugee camps.

Estimates of per capita consumption in four African countries. Stanford researchers used machine learning to extract information from high-resolution satellite imagery to identify impoverished regions in Africa. (Image credit: Neal Jean et al.)

Using Machine Learning to Map Poverty from Satellite Imagery

Elizabeth Borneman

Satellite images are now being used to map poverty levels around the world using machine learning used to analyze specific poverty data using a convolutional neural network.

From Davies et al., 2016: "the results show good qualitative agreement, with 26 of the 33 boroughs showing rioter percentages in the same or adjacent bands as the data. The remaining discrepancy may be accounted for by factors specific to the London disorder, such as communication between groups, other activity patterns occurring at the time, or social factors beyond the scope of this work. "

GIS and Anti-Crime Measures

Mark Altaweel

This article takes a look at methods which demonstrate the wide and growing field of crime prevention utilizing spatial and GIS approaches.

Using Satellite Data to Calculate Groundwater

Elizabeth Borneman

A computer algorithm has been developed at Stanford University that allows researchers to determine groundwater levels using satellite imagery.

Local spatial autocorrelation for percent Republican, presidential election 1976. Map of the Cincinnati metropolitan area from Kinsella et al., 2015.

GIS, Elections, and Politics

Mark Altaweel

Political geography focuses on past election cycles in order to look at how voting patterns develop and why. Mark Altaweel discusses how GIS can be used to study those patterns.