March 15, 2018

Download e-book for iPad: A Gentle Introduction to GIS by T. Sutton, O. Dassau, M. Sutton

By T. Sutton, O. Dassau, M. Sutton

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Collecting and storing unneeded information is a bad idea because of the cost and time required to research and capture the information. Very often we obtain vector data from companies, friends or the government. In these cases it is usually not possible to request specific attributes and we have to make do with what we get. Single Symbols: 28 If a feature is symbolised without using any attribute table data, it can only be drawn in a simple way. ) but that is all. You cannot tell the GIS to draw the features based on one of its properties in the attribute table.

We could just as easily have chosen other aspects of a house such as: ● ● ● ● ● ● ● number of levels number of rooms number of occupants type of dwelling (RDP House, block of flats, shack, brick house etc) year the house was built area of floor space in the house and so on.... With so many options, how do we make a good choice as to what attributes are needed for a feature? It usually boils down to what you plan to do with the data. If you want to produce a colour coded map showing houses by age, it will make sense to have a 'Year Built' attribute for your feature.

When they are all finished, overlay all the sheets together and see if it makes a good raster map representation of your school. Which types of features worked well when represented as rasters? How did your choice in cell size affect your ability to represent different feature types? Something to think about: If you don't have a computer available, you can understand raster data using pen and paper. Draw a grid of squares onto a sheet of paper to represent your soccer field. Fill the grid in with numbers representing values for grass cover on your soccer field.

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A Gentle Introduction to GIS by T. Sutton, O. Dassau, M. Sutton

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