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Analytical GIS Capabilities

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Presentation on theme: "Analytical GIS Capabilities"— Presentation transcript:

1 Analytical GIS Capabilities
There are many ways to classify the analytic functions of a GIS. The classification used for this lecture makes the following distinctions in function classes: Measurement and classification functions Overlay functions Neighbourhood functions Connectivity functions

2 Spatial selection queries
Spatial selection by attribute conditions

3 Classification Line Dissolve (Map Dissolve) 2 3 1 2 1 4
1 grain crops 2 orchards residential 4 commercial 1 agricultural non-agricultural

4 Overlay Functions These functions (Operators) are as follows:
polygon intersection spatial join polygon clipping polygon overwrite

5 Overlay A series of registered data layers ‘overlaying’ each other
Arguably the most important GIS analysis function

6 Overlay An overlay operation takes two or more data layers as input and results in an output data layer Three types of overlay: Point in polygon Line in polygon Polygon (polygon on polygon)

7 Point in Polygon Overlay
Trees Land Cover NewTrees 1 2 A A C + = C B B Point Table Poly Table Point Table ID Tree A Elm B Maple C Elm ID Cover Rural Urban ID Tree Cover A Elm Rural B Maple Rural C Elm Urban

8 Line in Polygon Overlay
Streets Land Cover NewStreets C C A A + = D B B 1 2 Line Table Poly Table Line Table ID Street A Race B Race C Arch ID Cover Rural Urban ID Street Cover A Race Rural B Race Urban C Arch Urban D Race Urban

9 Polygon Overlay Intersection (and) Union (or) Identity

10 Polygon Overlay: Intersection
Agriculture Land Cover <Intermediate> A A B B ID Owner A Brown B Smith ID Cover A commercial B industrial Area of intersection New node

11 Polygon Overlay: Intersection
<Intermediate> Output A B ID Owner Cover A Brown commercial B Smith industrial Area of intersection New node

12 Polygon Overlay: Union
Agriculture Land Cover <Intermediate> A A B B ID Owner A Brown B Smith ID Cover A commercial B industrial Area of union New node

13 Polygon Overlay: Union
Output <Intermediate> B C A D E ID Owner Cover A commercial B Brown commercial C Brown D Smith E Smith industrial Area of union New node

14 Polygon Overlay: Identity
Agriculture (input layer) Land Cover (identity layer) <Intermediate> A A B B ID Owner A Brown B Smith ID Cover A commercial B industrial Area of identity New node

15 Polygon Overlay: Identity
Output <Intermediate> A B C D ID Owner Cover A Brown commercial B Brown C Smith D Smith industrial Area of identity New node

16 Raster Overlay GISs that support raster processing - as do most -usually have a full language to express operations on rasters.

17 Neighborhood functions
To perform neighborhood analysis, we must: state which target locations are of interest to us, and what is their spatial extent, define how to determine the neighborhood for each target, define which characteristic(s) must be computed for each neighborhood.

18 Neighbourhood functions
Proximity computation: Buffer zone generation Thiessen polygon generation

19 Neighbourhood functions

20 Buffer Definition of what is within/without a given proximity
Line buffer Point buffer Polygon buffer

21 Doughnut Buffer e.g. within 10 meters but not within 5 meters
Buffer polygon 5 10 ‘Hole’

22 Variable Buffer Buffer distance varies by some feature attribute or friction surface

23 Variable Buffer ID Dist A 3 B 2 C 5 B A Original line C 4 6 10
Buffer polygon

24

25 Neighbourhood functions

26 Unit Demand (l/day/ha)
Table 12.3 Computing water use based on land-use area  Node Total Node Area (ha) Land Use Type Land Use Area (ha) Unit Demand (l/day/ha) Demand (l/day) Node Total (l/day) J-1 6.88 Industrial 11,200 77,100 J-2 7.69 Industrial Commercial Residential 11,200 4,700 7,500 15,500 4,300 40,400 60,200 J-3 Commercial Residential Undeveloped 4,700 7,500 0 6,100 38,600 0 44,800 J-4 8.50 Industrial Commercial Residential Undeveloped 11,200 4,700 7,500 0 1, ,400 0 20,800 J-5 8.09 Industrial Commercial 11,200 4,700 72,500 7,600 80,100 J-6 4.86 2,200 6,400 24,800 33,400


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