Citation: Bharath H. Aithal and Ramachandra TV, 2012. Modelling the Spatial Patterns of Landscape dynamics: Review., CES Technical Report : 127, Energy & Wetlands Research Group, Centre for Ecological Sciences, Indian Institute of Science, Bangalore 560 012. doi:http://wgbis.ces.iisc.ernet.in/biodiversity/pubs/ces_tr/TR127/index.htm
Contact Address :
  Dr. T.V. Ramachandra
Energy & Wetlands Research Group, Centre for Ecological Sciences,
New Biological Sciences Building, 3rd Floor, E-Wing, Lab: TE15,
Indian Institute of Science, Bangalore – 560 012, INDIA.
Tel : 91-80-22933099 / 22933503(Ext:107) / 23600985
Fax : 91-80-23601428 / 23600085 / 23600683 [CES-TVR]
E-mail : cestvr@ces.iisc.ernet.in, energy@ces.iisc.ernet.in
Web : http://wgbis.ces.iisc.ernet.in/energy
Modelling the Spatial Patterns of Landscape dynamics: Review
Bharath H. Aithal                              T.V. Ramachandra
Energy & Wetland Research Group, Centre for Ecological Sciences, Indian Institute of Science, Bangalore - 560012, INDIA
APPENDIX: SPATIAL LANDSCAPE INDICES

 

Indicators Formula Range Significance/ Description
Category : Patch area metrics
1 Built up (Total Land Area) ------ >0 Total built-up land (in ha)
2 Percentage of Landscape (PLAND)


Pi = proportion of the landscape occupied by patch type (class) i.
aij = area (m2) of patch ij.
A = total landscape area (m2).
0 < PLAND ≤ 100 PLAND approaches 0 when the corresponding patch type (class) becomes increasingly rare in the landscape.
PLAND = 100
when the entire landscape consists of a single patch type;
3 Largest Patch Index (Percenta ge of landscape)
a ij = area (m2) of patch ij
A= total landscape area
0 ≤ LPI≤100 LPI = 0 when largest patch of the patch type becomes increasingly smaller.
LPI = 100 when the entire landscape consists of a single patch of, when the largest patch comprise 100% of the landscape
4 Number of Urban Patches N P U = n
NP equals the number of patches in the landscape.
NPU>0, without limit. It is a fragmentation Index. Higher the value more the fragmentation
5 Patch density f(sample area) = (Patch Number/Area) * 1000000 PD>0, without limit Calculates patch density index on a raster map, using a 4 neighbor algorithm. Patch density increases with a greater number of patches within a reference area.
6 Perimeter-Area Fractal Dimension PAFRAC
Perimeter-Area Fractal Dimension
aij = area (m2) of patch ij.
pij = perimeter (m) of patch ij.
N = total number of patches in the landscape
1 ≤ PAFRAC ≤ 2 It approaches 1 for shapes with very simple perimeters such as squares, and approaches 2 for shapes with highly convoluted, perimeters. PAFRAC requires patches to vary in size.
7 Landscape Division Index (DIVISION)
a ij = area (m2) of patch ij
A= total landscape area
0≤DIVISION<1 DIVISION = 0, when the landscape consists of single patch. It approaches 1 when the proportion of landscape comprising of the focal patch type decreases and as those patches decreases in size.
Category : Edge/border metrics
8 Edge density
k: patch type
m: number of patch type
n: number of edge segment of patch type k
eik :total length of edge in landscape involving patch type k
Area: total landscape area
ED ≥ 0, without limit. ED = 0 when there is no class edge. ED measures total edge of urban boundary used to compare landscape of varying sizes.
9 Area weighted mean patch fractal dimension (AWMPFD)
Where si and pi are the area and perimeter of patch i, and N is the total number of patches
1 ≤ AWMPFD ≤ 2 AWMPFD approaches 1 for shapes with very simple perimeters, such as circles or squares, and approaches 2 for shapes with highly convoluted perimeter AWMPFD describes the fragmentation of urban patches. If Sprawl is high then the AWMPFD value is high
10 Perimeter Area Weighted Mean Ratio. PARA_AM PARA _AM= Pij/Aij
Pij = perimeter of patch ij
Aij= area weighted mean of patch ij
≥ 0, without limit PARA AM is a very useful measure of fragmentation; it is a measure of the amount of 'edge' for a landscape or class. PARA AM value increased with increasing patch shape complexity, which precisely characterized the degree of patch shape complexity.
11 Mean Patch Fractal Dimension (MPFD)
pij = perimeter of patch ij
aij= area weighted mean of patch ij
N = total number of patches in
the landscape
1<=MPFD<2 Shape Complexity. MPFD is another measure of shape complexity, approaches one for shapes with simple perimeters and approaches two when shapes are more complex.
12 Total Edge (TE)
eik = total length (m) of edge in landscape involving patch type (class) i; includes landscape boundary and background segments involving patch type i.
TE>0, Without limit TE equals the sum of the lengths (m) of all edge segments involving the corresponding patch type. TE includes a user-specified proportion of internal background edge segments involving the corresponding patch type
Category : Shape metrics
13 NLSI(Normalized Landscape Shape Index)
Where si and pi are the area and perimeter of patch i, and N is the total number of patches.
0≤NLSI<1 NLSI = 0 when the landscape consists of single square or maximally compact almost square, it increases when the patch types becomes increasingly disaggregated and is 1 when the patch type is maximally disaggregated
14 Landscape Shape Index (LSI)
ei = total length of edge (or perimeter) of class i in terms of number of cell surfaces; includes all landscape boundary and background edge segments involving class i.
min ei = minimum total length of edge (or perimeter) of class i in terms of number of cell surfaces (see below).
LSI>1, Without Limit LSI = 1 when the landscape consists of a single square or maximally compact (i.e., almost square) patch of the corresponding type; LSI increases without limit as the patch type becomes more disaggregated
Category: Compactness/ contagion / dispersion metrics
15 Clumpiness
gii =number of like adjacencies (joins) between pixels of patch type (class) I based on the double-count method.
gik =number of adjacencies (joins) between pixels of patch types (classes) i and k based on the double-count method.
min-ei =minimum perimeter (in number of cell surfaces) of patch type (class)i for a maximally clumped class.
Pi =proportion of the landscape occupied by patch type (class) i.
-1≤ CLUMPY ≤1 It equals 0 when the patches are distributed randomly, and approaches 1 when the patch type is maximally aggregated
16 Percentage of Like Adjacencies (PLADJ)
gii = number of like adjacencies (joins) between pixels of patch type (class) i based on the double-count method.
gik = number of adjacencies (joins) between pixels of patch types (classes) i and k based on the double-count method.
0<=PLADJ<=100 The percentage of cell adjacencies involving the corresponding patch type that are like adjacencies. Cell adjacencies are tallied using the double-count method in which pixel order is preserved, at least for all internal adjacencies
17 Total Core Area (TCA) TCA>=0 Without limit. TCA equals the sum of the core areas of each patch (m2) of the corresponding patch type, divided by 10,000 (to convert to hectares).
18 ENND coefficient of variation
CV (coefficient of variation) equals the standard deviation divided by the mean, multiplied by 100 to convert to a percentage, for the corresponding patch metrics.
It is represented in percentage. In the analysis of urban processes, greater isolation indicates greater dispersion.
19 Aggregation index
gii =number of like adjacencies (joins) between pixels of patch type (class) i based on the single count method.
max-gii = maximum number of like adjacencies (joins) between pixels of patch type class i based on single count method.
Pi= proportion of landscape comprised of patch type (class) i.
1≤AI≤100 AI equals when the patches are maximally disaggregated and equals 100 when the patches are maximally aggregated into a single compact patch. Aggregation corresponds to the clustering of patches to form patches of a larger size.
20 Interspersion and Juxtaposition
eik = total length (m) of edge in landscape between patch types (classes) i and k.
E = total length (m) of edge in landscape, excluding background
m = number of patch types (classes) present in the landscape, including the landscape border, if present.
0≤ IJI ≤100 IJI is used to measure patch adjacency. IJI approach 0 when distribution of adjacencies among unique patch types becomes increasingly uneven; is equal to 100 when all patch types are equally adjacent to all other patch types.



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