Lecture

Geographic Information Systems Teaser

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Description

This lecture discusses the use of drones equipped with cameras to monitor and protect endangered rhinoceros populations in Africa. It covers the basics of geographic information systems, from data acquisition to analysis, and explains how spatial analysis tools can reveal relationships between geographic objects and environmental parameters.

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Related concepts (7)

Spatial analysis

Spatial analysis is any of the formal techniques which studies entities using their topological, geometric, or geographic properties. Spatial analysis includes a variety of techniques using different analytic approaches, especially spatial statistics. It may be applied in fields as diverse as astronomy, with its studies of the placement of galaxies in the cosmos, or to chip fabrication engineering, with its use of "place and route" algorithms to build complex wiring structures.

Geographic information system

A geographic information system (GIS) consists of integrated computer hardware and software that store, manage, analyze, edit, output, and visualize geographic data. Much of this often happens within a spatial database, however, this is not essential to meet the definition of a GIS. In a broader sense, one may consider such a system also to include human users and support staff, procedures and workflows, the body of knowledge of relevant concepts and methods, and institutional organizations.

Geographic information science

Geographic information science (GIScience, GISc) or geoinformation science is a scientific discipline at the crossroads of computational science, social science, and natural science that studies geographic information, including how it represents phenomena in the real world, how it represents the way humans understand the world, and how it can be captured, organized, and analyzed. It is a sub-field of geography, specifically part of technical geography.

Boundary problem (spatial analysis)

A boundary problem in analysis is a phenomenon in which geographical patterns are differentiated by the shape and arrangement of boundaries that are drawn for administrative or measurement purposes. The boundary problem occurs because of the loss of neighbors in analyses that depend on the values of the neighbors. While geographic phenomena are measured and analyzed within a specific unit, identical spatial data can appear either dispersed or clustered depending on the boundary placed around the data.

Spatial database

A spatial database is a general-purpose database (usually a relational database) that has been enhanced to include spatial data that represents objects defined in a geometric space, along with tools for querying and analyzing such data. Most spatial databases allow the representation of simple geometric objects such as points, lines and polygons. Some spatial databases handle more complex structures such as 3D objects, topological coverages, linear networks, and triangulated irregular networks (TINs).

Related lectures (64)

Geographic Information Systems: Urban Morphology and Modeling

By Prof. François Golay explores GIS, urban morphology, challenges of Digital Twins, data-driven analytics, and LASIG's contributions.

Vector-Vector Integration: Methods and Tools MOOC: Geographical Information Systems 2

Explores methods and tools for integrating vector layers in QGIS, including SQL queries and boolean operators.

Spatial Phenomena: Isovalues

Covers isovalue curves in geographic information systems and their creation using QGIS.

Vector-Vector Data Layer Interactions MOOC: Geographical Information Systems 2

Covers interactions between vector layers in GIS, including geometric properties, spatial arrangement, autocorrelation, altitude models, and SQL equivalents.

Raster - Vector Integration MOOC: Geographical Information Systems 2