A decision support system comprising of computer hardware, software, geographic data, and personnel designed to efficiently capture, store, manipulate, analyse and display all forms of spatial and non-spatial (attribute) data for better management of geographical area
Geographic Information System (GIS)
An organized collection of computer hardware, software, geographic data, and personnel designed to efficiently capture, store, update, manipulate, analyze, and display all forms of geographically referenced information
GIS represents a rapidly developing field lying at the intersection of many disciplines namely, cartography, computing, geography, earth & natural sciences, statistics, surveying and other disciplines concerned with handling and analyzing spatial and non-spatial referenced data
GIS is a special-purpose digital database in which a common spatial coordinate system is the primary means of reference
Components of GIS
Computer hardware
Sets of application software modules
Proper organizational context
Computer hardware
Main computer system or central processing unit (CPU)
Peripherals: terminal, digitizer/scanner, disk drive, tape drive, plotter, printer
Software modules
Data input, editing and verification
Data storage and database management
Data analysis, modeling and cartographic manipulation
Data output and presentation
User interface/interaction
Data input, editing and verification
Data transformation, format conversion, error detection and editing, edge matching and registration
Data storage and database management
Effective data storage, retrieval and updating facilities
Multi-user environment
Data independence, security and integrity
Data analysis, modeling and cartographic manipulation
Map overlaying, reclassification procedures, proximity analysis, buffering & corridoring techniques, network analysis and other cartographic modeling tools
Data output and presentation
Displaying data as maps, tables, and figures (graphs and charts)
User interface/interaction
English-like command languages and interactive ways of command entry
GIS is following in the steps of pioneers who developed paper maps that integrated all manner of different types of data for analysis
Examples of historic use of multiple-theme maps
Maps of the Battle of Yorktown drawn by the French Cartographer Louis-Alexandre Berthier with hinged overlays to show troop movements
Mid-19th Century "Atlas to Accompany the Second Report of the Irish Railway Commissioners" showing population, traffic flow, geology and topography superimposed on the same base map
Dr. John Snow's map showing the locations of deaths by cholera in central London in September, 1854 to track the source of the outbreak
Multiple-Theme Maps
Ability to integrate different types of data and analyze it as a whole
GIS is an 'integrating technology'
The idea of portraying different layers of data on a series of base maps, and relating things geographically, has been around much longer than computers
Examples of early multiple-theme maps
Maps of the Battle of Yorktown with hinged overlays to show troop movements
Mid-19th Century "Atlas to Accompany the Second Report of the Irish Railway Commissioners" showing population, traffic flow, geology and topography
Dr. John Snow's map showing locations of deaths by cholera in central London in 1854
Map of Napoleon's attempted conquest of Russia integrating troop movements with dates, times, troop numbers, weather and related data
Ian McHarg
Discussed the use of selection of specific data from maps, the use of overlays, and most of the basic techniques used in common GIS query and analysis
His methods were very labor-intensive
Quantitative geography
Statistical and computational tools became capable of handling the large amounts of data common in geographical data sets
Factors causing changes in quantitative geography
Developments in computer technology - improvements in hardware, esp. graphics
Development of theories of spatial processes in economic and social geography, anthropology, and regional science
Increasing social awareness, education levels and mobility, together with a growing awareness of environmental problems
Rapid increases in the ability to collect mapping data, but limitations in the speed of map production
The growing need for better information to help manage a rapidly changing Earth led to a need for integrated information, generally with a spatial component common to all the data
Examples of integrated information with a spatial component
Integrated transportation plans developed for Chicago and Detroit in the 1950s and 1960s requiring the integration of highly varied transportation data: routes, destinations, origins, and times
University of Washington Department of Geography research 1958-61
Advanced statistical methods
Rudimentary computer programming for geographical analysis and computer cartography
Notable people and their major fields of interest
Nystuen - fundamental spatial concepts - distance, orientation, connectivity
Tobler - computer algorithms for map projections and computer cartography
Bunge - theoretical geography - geometric basis for geography: points, lines and areas
Berry - Geographical Matrix of places by characteristics (attributes) - regional studies by overlaying maps of different themes - systematic studies by detailed evaluation of a single layer/map
Raster GIS
Storing spatial data based on a grid for location
Berry's Geographical Matrix lent itself to a raster representation
Example of a raster map
Vegetation cover map using macGIS
Canada Geographic Information System (CGIS)
One of the earliest GIS developed, started in the mid 1960s
Designed as a large scale system and is still operating today (although in a somewhat revised form)
The largest and most successful GIS setup, being the first large GIS built
Provided many conceptual and technical contributions to the field
Purpose of CGIS
To analyze the data collected by the Canada Land Inventory (CLI) and to produce statistics to be used in developing land management plans for efficient land use over large areas of rural Canada
Maps created by the Canada Land Inventory (CLI)
Soil capability for agriculture
Recreation capability
Capability for wildlife (ungulates)
Capability for wildlife (waterfowl)
Forestry capability
Present land use
Shoreline
The initial perception was that computers could perform a range of analyses once the data had been input, which was the driving idea behind setting up the CGIS system
CGIS, being one of the first large GIS, required the development of a lot of new technology
Noticeable features of CGIS
Very high costs of technical development
Much of the work was done in considerable secrecy
Problems between the Canadian government and the contracting companies, especially over questions of intellectual property
By 1970, the CGIS project was in trouble with significant failures to deliver promised tabulations of data and the analysis capabilities still in the development stages
CGIS never really had a graphics capability, despite a movie suggesting that graphics were part of the system
Key innovative ideas in CGIS
Use of scanning for input of high density area objects
Use of absolute system of co-ordinates for entire country with precision adjustable to resolution of data
Coding of area object boundaries by arc, with pointers to left and right area objects
Separation of data into attribute and locational files: 'descriptor dataset' (DDS) and 'image dataset' (IDS)'
Concept of an attribute table
Implementation of functions for polygon overlay, measurement of area, user-defined circles and polygons for query
Roger Tomlinson
One of the two people credited with inventing the name 'GIS'
Harvard Laboratory for Computer Graphics and Spatial Analysis
Created when Howard Fisher moved from Chicago to Harvard in the mid-1960s
Initial purpose was the development of general-purpose mapping software
Had a major influence on the development of GIS up to the early 1980s
Harvard Lab Packages
SYMAP (1964)
CALFORM (late 1960s)
SYMVU (late 1960s)
GRID (late 1960s)
POLYVRT (early 1970s)
ODYSSEY (mid 1970s)
Key individuals at the Harvard Lab
Howard Fisher - initiated the Lab and the development of SYMAP
William Warntz - succeeded Fisher as Director until 1971, developed techniques and theories of spatial analysis based on computer handling of spatial data
Scott Morehouse - his move to ESRI was the key link between ODYSSEY and the development of ARC/INFO