Data, Geospatial Data and Information Print E-mail

Numerical data representationData answers the question What? or How many?. Geospatial data answers precisely the question Where? The where component is simply the numeric co-ordinates of the area under study.

Data in general has a qualitative dimension (what is measured?) and a quantitative dimension (how much is measured?). In order to be of use for a real world analysis we need to know its geolocation (where is the data measured?), described by its coordinates. This transforms general data into geospatial data.

Most often people are not interested in the data itself but in information that can be derived from the geospatial data by some form of analysis. For this transformation from data into information we use geographic information systems. These geographic information systems allow us to integrate, analyze, manage and visualize geospatial data. The resulting geospatial analyses often provide the information required in decision making processes. The quality of decisions is only as good as the analyses and the data that goes into the entire process.

For each geographic location there can be several geospatial datasets representing different properties of the area, such as physical, social, cultural, environmental etc. In GIS such properties of geospatial data are called attributes.   

Bodzin, A.M., Anastasio, D., 2006, Using Web-based GIS For Earth and Environmental Systems Education, Journal of Geoscience Education, v. 54, p. 295-300

Prakash, A., 2006, Introducing Geoinformatics for Earth System Science Education, Journal of Geoscience Education, v. 54, p. 555-560

 
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