Chapter 4: Representing Earth
Learning Objectives
1. Understand the basic components of a geographic information system (GIS) and what makes it unique from other information systems.
2. Investigate and understand types of data such as discrete and continuous, and data models such as raster and vector used to store and analyze this data in a Geographic Information System.
3. Identify the major software applications used and their uses as well as installation requirements.
Supplemental Reading
What is GIS?
Who Uses GIS?
Geospatial Industries
Key Terms
analysis, area, attributes, attribute table, binary data, collection, continuous spatial phenomenon, data, data overload, data type, date, discrete spatial phenomenon, distribution of information, float, geographic information system, geospatial data model, hardware, integer, interval attribute data, maintenance, methods, network, node, nominal attribute data, ordinal attribute data, output, people, polygon, raster data model, raster resolution, ratio attribute data, software, spatial patterns, storage, string, TIN edge, TIN face, TIN point, triangulated irregular network, , vector data model, vector line, vector point, vertex,
1. Understand the basic components of a geographic information system (GIS) and what makes it unique from other information systems.
2. Investigate and understand types of data such as discrete and continuous, and data models such as raster and vector used to store and analyze this data in a Geographic Information System.
3. Identify the major software applications used and their uses as well as installation requirements.
Supplemental Reading
What is GIS?
Who Uses GIS?
Geospatial Industries
Key Terms
analysis, area, attributes, attribute table, binary data, collection, continuous spatial phenomenon, data, data overload, data type, date, discrete spatial phenomenon, distribution of information, float, geographic information system, geospatial data model, hardware, integer, interval attribute data, maintenance, methods, network, node, nominal attribute data, ordinal attribute data, output, people, polygon, raster data model, raster resolution, ratio attribute data, software, spatial patterns, storage, string, TIN edge, TIN face, TIN point, triangulated irregular network, , vector data model, vector line, vector point, vertex,