Geographic information system: Difference between revisions
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===Vector Data=== | ===Vector Data=== | ||
[[Image:Vector_example.jpg|thumb|100 px| | [[Image:Vector_example.jpg|thumb|100 px|The same area represented by a vector map.]] | ||
Rather than a grid, the spatial positions of the data in a vector layer are stored as a series of ''nodes'' for each polygon, line, or point (a single node). Each line consists of two or more nodes, and each polygon is enclosed by a series of lines. A node's spatial position in a vector map is determined by its x, y co-ordinates, and the distance between two features is determined by the differences in the the x,y co-ordinates of their nearest nodes. By linking each polygon/line/point feature to an ''attribute table'', vector data can associate multiple attributes with individual features. While this data format is ideal for classified data, it does not work as well with spatially continuous variables. This is why most GIS projects consist of both raster and vector data layers. | Rather than a grid, the spatial positions of the data in a vector layer are stored as a series of ''nodes'' for each polygon, line, or point (a single node). Each line consists of two or more nodes, and each polygon is enclosed by a series of lines. A node's spatial position in a vector map is determined by its x, y co-ordinates, and the distance between two features is determined by the differences in the the x,y co-ordinates of their nearest nodes. By linking each polygon/line/point feature to an ''attribute table'', vector data can associate multiple attributes with individual features. While this data format is ideal for classified data, it does not work as well with spatially continuous variables. This is why most GIS projects consist of both raster and vector data layers. | ||
Revision as of 23:50, 9 March 2008
A geographic information system (GIS) is typically defined as a computer software package designed to facilitate the analysis and display of geographically referenced spatial data by providing four general capabilities:
- Data input (encoding)
- Data management (i.e. archival, storage, query and retrieval)
- Statistical analysis (both basic data analysis and methods unique to spatial analysis)
- Output (display and input into other software)
All four of these functions involve interactions between the software system and the user, and most modern GIS packages are designed to allow the user to display the data and results associated with each function inside the program (i.e. most packages include a visual display and a graphical user interface, or GUI). GIS is primarily used to analyze spatial data acquired from cartographic records or remote sensing imagery, although GIS could theoretically be used to analyze any type of multidimensional data. [1]
Geographic information systems are a tool utilized by a wide variety of disciplines including resource management, conservation, asset management, cartography, market analysis, logistics, real estate, defense, emergency management, and transportation.
GIS Data Types
Data within a GIS can be represented in two general formats - raster and vector. The type of analysis being conducted and the nature of the data themselves largely determine which format will be used. The basic guideline that rasters are useful when representing spatially continuous variables while vector files are useful for representing categorical variables, is helpful, but significant exceptions exist. More commonly, raster layers will be used in modelling or geospatial analyses, while vector layers will be used in mapping and geographic analyses.
Raster Data
Raster data organizes information in a grid with a single attribute value assigned to each pixel, or cell. While grid cells are typically square, specific applications may call for the use of rectangular or other cell shapes. Each cell represents the same spatial area in a raster map, and the spatial distance represented by the x and y dimensions of the cells, called the grid resolution, determine the smallest spatial feature that the raster can resolve, or its resolving power. The spatial location position of a given cell in a raster grid can be represented by its two-dimensional distance (e.g. up and over) from a reference point (e.g. the bottom left corner), and the distance between two cells can be represented by the number of cells between them. This makes rasters ideal data formats for modelling applications or for processes or features that vary continuously in over the map area.
Vector Data
Rather than a grid, the spatial positions of the data in a vector layer are stored as a series of nodes for each polygon, line, or point (a single node). Each line consists of two or more nodes, and each polygon is enclosed by a series of lines. A node's spatial position in a vector map is determined by its x, y co-ordinates, and the distance between two features is determined by the differences in the the x,y co-ordinates of their nearest nodes. By linking each polygon/line/point feature to an attribute table, vector data can associate multiple attributes with individual features. While this data format is ideal for classified data, it does not work as well with spatially continuous variables. This is why most GIS projects consist of both raster and vector data layers.
GIS and Remote Sensing
Because much of the spatial data used in GIS is based on remotely sensed images, the software systems designed for GIS and those designed for the processing of remotely sensed images are intimately related, and many of the major GIS packages include at least basic image processing capabilities, and image processing applications vice versa.
GIS software packages
As with many other software applications, both proprietary systems and open source systems are available. The majority of the proprietary systems are limited to the Microsoft Windows operating system, while the open source systems tend to work with several different OS types.
ArcGIS
ArcGIS is the primary GIS platform developed by Environmental Systems Research Institute, Inc. (ESRI). It is the most commonly used GIS software.
Notes
- ↑ Jensen, J. R. (1996) Introductory Digital Image Processing: A Remote Sensing Perspective. Prentice Hall Series in Geographic Information Science. Clarke, K. C. (ed.). Prentice Hall, Upper Saddle River, New Jersey, United States. 316 p.