In addition to traditional Machine Learning techniques, ArcGIS also has a subset of ML techniques that are inherently spatial. These spatial methods that incorporate some notion of geography directly into their computation can lead to deeper understanding. The spatial component often takes the form of ...
Machine learning (ML) has significantly revolutionized scientific methodology in geoscience applications by introducing automation, enhancing efficiency, enabling adaptability, ensuring security, and facilitating extensive data analytics [1]. Artificial intelligence (AI), machine learning, and deep learning (DL...
The Process of Deep Learning and Training for Big Data Whether you’re in GIS or another field, machine learning is all the buzz these days. It’s about distilling big data sets. Because if you can let the computer detect the features, it will show you things you have never noticed. Be...
In geography, machine learning methods are used in areas such as remote sensing, cartography, spatial analysis and modeling, spatial decision-making, and geographic information systems. Keywords: artificial intelligence; classification; data mining; machine learning; pattern recognition; remote sensingNing...
Geographical information system (GIS) is gaining its popularity beyond geography and information technology (IT) with its strong power in managing and analysing spatial data. In medical geology, GIS provides two main useful functions: (a) mapping and (b) spatial analysis. It contains specialised co...
Combining geospatial data with machine learning in projects that support disaster response, humanitarian action and conservation efforts.
In this work, we develop a machine-learning-based framework to map both overhead and underground distribution grids using widely-available multi-modal data including street view images, road networks, and building maps. Benchmarked against the utility-owned distribution grid map in California, our ...
While for the player in NASA’s game, the knowledge of geography linked to her pattern recognition skills is enough to complete the task, in the machine learning project the computational model is supposed to be able to identify the place shown in a photograph—once it has been trained with...
Fraud Detection: Machine learning canidentify potentially fraudulent patternsby considering geography, purchase frequency, purchase types, amount spent, and other details of individual transactions and comparing them to customer profiles. Using anomaly detection capabilities, the system can quickly flag out-...
Texas Woman in 1938 People watching a television set for the first time at Waterloo station, London, 1936 Geography Lessons in 1850 Chinese Opium Smokers in 1880 Note that even really old and/or poor quality photos will still turn out looking pretty cool: ...