Chapter 3: Data management and processing systems Flashcards
Functional components of GIS
Data capture and preparation, data storage, data analysis, and presentation of spatial data.
Spatial Data Infrastructures (SDI)
The relevant base collection of technologies, policies and institutional arrangements that facilitate the availability and access to spatial data (i.e. arrangements between organisations, arrangements between software systems).
Geo-webservices
A geo-webservice is an online platform that allows users to access and manipulate geospatial data over the internet. It follows open standards set by organizations like the Open Geospatial Consortium (OGC) and provides a standardized way to share, integrate, and analyze geographic information.
Vector data
Vector data represents geographic features as points, lines, and polygons.
Raster data
Raster data represents geographic information as a grid of cells or pixels, where each cell contains a value representing a specific attribute or measurement. It is commonly used to store continuous data, such as satellite imagery or elevation models, and allows for detailed spatial analysis and visualization.
Advantages of raster representation
Simple data structure, simple implementation of overlays, efficient for image processing.
Disadvantages of raster representation
Less compact data structure, difficulties in representing typology, cell boundaries independent of feature boundaries.
Advantages of vector representation
Efficient representation of topology, adapts well to scale changes, allows representing networks, allows easy association with attribute data.
Disadvantages of vector representation
Complex data structure, overlay more difficult to implement, inefficient for image processing.
Maintenance of spatial data
The combined activities to keep the data set up-to-date and as supportive as possible to the user community (such as: obtaining new data, entering them into a system, replacing outdated data)
Spatial decision support systems (SDSS)
An information system composed of a database, FIS software, models, and so called knowledge engine.
Spatial data analysis
Computing new information that provides new insight from the existing, stored spatial data.
Database
A large, computerized collection of structured data.
Database management system (DBMS)
A software package that allows the user to set up, use and maintain a database.
Data model
A language that allows the definition of:
1) The structures that will be used to store the base data
2) The integrity constraints that the stored data has to obey at all moments in time
3) The computer programs used to manipulate the data