Geospatial data - Computer processing.

Digital mapping of soil landscape parametersgeospatial analyses using machine learning and geomatics / by: (Electronic resources)

High performance computing for geospatial applications by: (Electronic resources)

Using R for Bayesian spatial and spatio-temporal health modeling / by: (Language materials, printed)

A new geocomputation pattern and its application in dual-evaluation by: (Electronic resources)

Spatial information science for natural resource management by: (Electronic resources)

Geospatial intelligenceapplications and future trends / by: (Electronic resources)

Geospatial data analytics and urban applications by: (Electronic resources)

Evaluating participatory mapping software by: (Electronic resources)

Geo-environmental hazards using AI-enabled geospatial techniques and Earth observation systems by: (Electronic resources)

High performance computing.

Geographic information systems.

Information modeling

Complex Systems.

Software Engineering.

Geography.

Environmental Science and Engineering.

Sustainable development.

Statistics, general.

Geographical Information System.

Computer and Information Systems Applications.

Remote Sensing/Photogrammetry.

Data-driven Science, Modeling and Theory Building.

Medical mapping

Urban Economics.

Medical statistics

R (Computer program language)

Hazard mitigation.

Computational Intelligence.

Big Data.

Natural resources

Public Health.

Digital mapping.

Geospatial data

Computer Imaging, Vision, Pattern Recognition and Graphics.

Digital soil mapping.

Simulation and Modeling.

Landscape Ecology.

Bayesian statistical decision theory.

Geography, general.

Urban geography

Cartography

Cartography.

Computer Applications.

Artificial intelligence.

Natural Hazards.