A parameterized region-growing programme for site allocation on raster suitability maps
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A parameterized region-growing programme for site allocation on raster suitability maps. / Brookes, C. J.
In: International Journal of Geographical Information Science, Vol. 11, No. 4, 1997, p. 375-396.Research output: Contribution to journal › Article › peer-review
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TY - JOUR
T1 - A parameterized region-growing programme for site allocation on raster suitability maps
AU - Brookes, C. J.
PY - 1997
Y1 - 1997
N2 - In assigning suitability scores to individual cells suitability maps do not solve the question of optimally locating regions of a particular size, shape and orientation. This paper describes a parameterized region-growing (PRG) programme for locating sites with particular spatial characteristics on raster suitability maps. PRG is an heuristic which trades off underlying cell suitability and region suitability to locate near optimal regions. The size, boundary configuration, elongation and orientation of an ideal shape are specified by a set of parameters which control a shape growing programme. Two simulations show how parameterized region-growing can locate wildlife reserves with different spatial characteristics.
AB - In assigning suitability scores to individual cells suitability maps do not solve the question of optimally locating regions of a particular size, shape and orientation. This paper describes a parameterized region-growing (PRG) programme for locating sites with particular spatial characteristics on raster suitability maps. PRG is an heuristic which trades off underlying cell suitability and region suitability to locate near optimal regions. The size, boundary configuration, elongation and orientation of an ideal shape are specified by a set of parameters which control a shape growing programme. Two simulations show how parameterized region-growing can locate wildlife reserves with different spatial characteristics.
U2 - 10.1080/136588197242329
DO - 10.1080/136588197242329
M3 - Article
VL - 11
SP - 375
EP - 396
JO - International Journal of Geographical Information Science
JF - International Journal of Geographical Information Science
SN - 1365-8816
IS - 4
ER -
ID: 135636