The study of viral geography could be a new, emerging field where researchers are now beginning to look at the elements that make a map viral.
Mark Altaweel
Spatial Analysis
Forecasting Cholera Using Remote Sensing
The NASA cholera forecasting tool effectively takes satellite observations on environmental conditions and combines the data with information on infrastructure and conditions in a country.
Spatial Analysis
Startups and the Future of Spatial Analysis
A growing number of startups are developing new approaches to advanced spatial analysis for everyday solutions across many fields and industries.
GIS Learning
GIS and Security Applications
The use of GIS in security software applications allows greater enhancements not just to monitoring but also planning and forecasting potential security threats, both from physical and cyber threats.
GIS Industry
GIS and Cancer Screening
GIS has the potential to play an important role in cancer screening, particular in cancers where environmental, socio-economic and resource access links could be found.
GIS Data
Accessing Real-time Satellite Imagery and Data
Tools and applications such as NASA’s Land, Atmosphere Near Real-time Capability for EOS (LANCE) program and EarthNow, a space imaging startup, are paving the way towards real-time and near real-time satellite data.
Spatial Analysis
Forecasting Fire: Earth Observation and GIS
New techniques in GIS, remote sensing, and machine learning are incorporating land-based data along with temperature, precipitation and other weather factors in developing more accurate fire prediction models.
GIS Data
Creating Ground-level Views from Satellite Imagery
Recreating a ground-level image and perspective using satellite imagery has only recently been developed.
GIS Industry
Geospatial Artificial Intelligence: Emerging Trends and Challenges
There are both challenges and opportunities that Artificial Intelligence (AI) has in applying geospatial and GIS knowledge that also addresses issues of time and spatial bias.
GIS Industry
Future of Mobile Spatial Applications and Image Recognition
Image recognition software and algorithm development is likely to be increasingly applied with spatial applications.