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Spatial Pattern Analysis Exploring the relationship between ecological pattern, ecological function and ecological processes. Spatial Structure -> Ecological Function -> Change …. pressure, state, response Composition Configuration Spatial Structure

Spatial Pattern Analysis

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Spatial Pattern Analysis. Exploring the relationship between ecological pattern, ecological function and ecological processes. Spatial Structure -> Ecological Function -> Change …. pressure, state, response. Spatial Structure. Composition. Configuration. www.mosaicr.com. Assess Pattern. - PowerPoint PPT Presentation

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Page 1: Spatial Pattern Analysis

Spatial Pattern AnalysisSpatial Pattern Analysis

Exploring the relationship between ecological pattern, ecological function and ecological processes.

Spatial Structure -> Ecological Function -> Change …. pressure, state, response

CompositionComposition ConfigurationConfiguration

Spatial StructureSpatial Structure

Page 2: Spatial Pattern Analysis

www.mosaicr.com

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Assess PatternAssess Pattern

Input = classified input Output = spreadsheet of selected metrics

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• Composition = The presence and amount of each element type without spatially explicit measures.– Proportion, richness, evenness, diversity

• Configuration = The physical distribution in space and spatial character of elements.– Isolation, placement, adjacency

Spatial StructureSpatial Structure

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Rugosity

Jeff Jenness and Pat Iampietro

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3 band “true color”Red, Green, Blue;

1 band, Red wavelength

5 class Natural breaksJenk’s classifier

5 class Equal Intervalequal-sized sub-ranges

11 class (1/2 equal Interval)

Defined IntervalAn interval which equallyDivides a range

5 class QuantileEach class has equal Number of features

5 class Quantile1 standarddeviation

5 class, “isodata”R,G,B,IR

Histogram ClassificationHistogram Classification

original continuous data

Various histogram classification results

Multi

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Clustering MultivariateSpatial DataClustering MultivariateSpatial Data

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Clusters

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ISODATA clusters

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Inner radiusOuter radius

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Classification

Ridge

Upper Slope

Middle Slope

Flat

Lower Slope

Valley

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3 “patches”Same “class”

1 “patches”differ “class”

1 “landscape”

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Types of Metrics• Area, Density, Diversity• Shape• Core area• Isolation/proximity, Nearest-Neighbor• Contrast metrics• Contagion / Interspersion• Connectivity• Diversity

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Area, Density, Diversity Metrics

Patch Density

Shannon Diversity Index

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Fractal: a pattern composed of identical parts

Shape Metricsperimeter-area relationships

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• Shape Index (SHAPE) -- complexity of patch compared to standard shape – vector uses circular; raster uses square– Mean Shape Index (MSI) = perimeter-to-area

ratio– Area-Weighted Mean Shape Index (AWMSI)– Landscape Shape Index (LSI)

fractal dimension indicates the extent to which the fractal object fills the Euclidean dimension

Fractal Dimension (D), or (FRACT)

- log P = 1/2D*log A; P = perimeter, A = area

E = total edgeA = total area

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Contagion, Interspersion and Juxtaposition

• When first proposed (O’Neill 1988) proved incorrect, Li & Reynolds (1993) alternative• Based upon the product of two (2) probabilities

– Randomly chosen cell belongs to patch “i”– Conditional probability of given type “i” neighboring cells belongs to “j”

• Interspersion (the intermixing of units of different patch types) and Juxtaposition (the mix of different types being adjacent) index (IJI)

M = number of classesEik = length of edge between classes

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Landscape Metrics

Class Metrics

Number of Patches

Largest Patch

Area-weighted mean shape

Shannon’s Diversity

Interspersion

Percent of Landscape | Patch Density | Patch Size CV | Area-weighted Mean Shape

4

89

1.45

.69

30.2

10 2 0 1.30

1 1 0 1 89 1 0 1.60

5

32

1.85

1.10

40

27 3 4 1.5

4 2 .25 1.12

69 5 4 1.87

19

13

?

?

?

? ? ? ?

1

100

1

0

0

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Landscape Ecology

• Structure = the spatial relationships among the distinctive ecosystems or “elements”

• Function = the interactions among the spatial elements

• Change = the alteration in the structure and function of the ecological mosaic over time

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Landscape Structure Physiognomy / Pattern

• Composition = The presence and amount of each element type without spatially explicit measures.– Proportion, richness, evenness, diversity

• Configuration = The physical distribution in space and spatial character of elements.– Isolation, placement, adjacency

• ** some metrics do both **

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Types of Metics

• Area Metrics• Patch Density, Size and Variability• Edge Metrics• Shape Metrics• Core Area Metrics• Nearest-Neighbor Metrics• Diversity Metrics• Contagion and Interspersion Metrics

Page 28: Spatial Pattern Analysis

Shape Metricsperimeter-area relationships

• Shape Index (SHAPE) -- complexity of patch compared to standard shape – vector uses circular; raster uses square– Mean Shape Index (MSI) = perimeter-to-area ratio

– Area-Weighted Mean Shape Index (AWMSI)– Landscape Shape Index (LSI)

• Fractal Dimension (D), or (FRACT) – log P = 1/2D*log A; P = perimeter, A = area– P = sq.rt. A raised to D, and D = 1 (a line)– as polygons move to complexity P = A, and D -> 2– A few fractal metrics

• Double log fractal dimension (DLFD)• Mean patch fractal (MPFD)• Area-weighted mean patch fractal dimension (AWMPFD)

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Contagion, Interspersion and Juxtaposition

• When first proposed (O’Neill 1988) proved incorrect, Li & Reynolds (1993) alternative

• Based upon the product of two (2) probabilities– Randomly chosen cell belongs to patch “i”– Conditional probability of given type “i” neighboring

cells belongs to “j”

• Interspersion (the intermixing of units of different patch types) and Juxtaposition (the mix of different types being adjacent) index (IJI)