SuperGIS Biodiversity Analyst 3.0

SuperGIS Biodiversity Analyst developed by SuperGeo which consists of “Biodiversity Analysis” and “Landscape Indices” provides the analysis tool to GIS users to evaluate ecological and natural environment. Through SuperGIS Biodiversity Analyst, users are able to evaluate the influence among the fauna and flora, environment and biodiversity with biodiversity indices and the specified landscape indices which correspond to each area.

Biodiversity Analysis

Biodiversity indices, in ecological research, containing species richness, species evenness and biodiversity, are used to evaluate the assembly and the distribution of species compositions. SuperGIS Biodiversity Analyst provides functions of various indices analysis so that users can get applicable results according to their needs.

Richness Indices
Richness indices which are used to represent the numbers of species in a certain spatial area denotes richness of species.

Diversity Indices
Diversity indices represent the richness of species in a certain area. The higher the index value is, the more species exist in the area. And the more the species exist, the closer the relationship among the fauna and flora will be.

Evenness Indices
Evenness indices, in a certain area, is used to discrete the evenness of distribution of each species among all the species. That is to say, evenness indices present the ratio or the relative richness of the individuals among each species.


The analyzed results of the distribution of butterflies (Analyzed by biodiversity analyst).

Landscape Indices

In SuperGIS Biodiversity Analyst, “Landscape Indices” provides users with analyst of Patch Metrics, Class Metrics and Landscape Metrics. According to these different indices, users are able to select the applicable indices for analyses.

In SuperGIS Biodiversity Analyst, “Landscape Indices” provides users with analyst of Patch Metrics, Class Metrics and Landscape Metrics. According to these different indices, users are able to select the applicable indices for analyses.

  Patch Class Landscape
Area/Density/Edge metrics v v v
Shape Metrics v v v
Core Area Metrics v v v
Isolation/Proximity Metrics v v v
Contrast Metrics v v v
Contagion/Interspersion Metrics   v v
Connectivity Metrics v v


Analysis results of Patch Metrics, Class Metrics and Landscape Metrics help users to get proper inference of research.

Area/Density/Edge metrics
Patch area is relative to individual numbers in per unit area of land, the richness of species composition, productivity and amount of nutrient storage. Patch with features of low density and small area will cause the edge effect and easily species extinction. Edge metrics are closely related to species and their habitats. For metrics values are proportional to the biodiversity, high value of edge metrics is positive for environment management.

Shape Metrics
Shape Metrics are from relation calculation of perimeter and area of the patch. Patches with big area and round shape that distribute closely but not with linear distance are more contributive for maintaining biodiversity. In contrast, patches with long and narrow shape, broad border width and high ecological heterogeneity are valuable for forming as wildlife corridors.

Core Area Metrics
A patch without some specified depth-of-edge influence or buffer width shows as its core area. Core Area Metrics are performed as a single value which is the result of integrative information of patch numbers, density and size. It reflects the information of landscape composition and shapes.

Isolation/Proximity Metrics
Patches with smaller area and much far away from the land posses lower biodiversity. The more isolated each patches are, the less interaction among species occur.

Contrast Metrics
Contrast Metrics present how different each patch or class is in a certain feature. And it might reflect the modalities of species distribution and surviving status, and influence the Isolation Metrics indirectly.

Contagion/Interspersion Metrics
“Contagion”, which denotes spatial aggregation of different land classes and landscapes, reflects distributions of land classes and how well these classes blended with each other. In contrast, “Interspersion Metrics”, represents the extent of blending of many land classes and landscapes in spatial, used to perform the landscape heterogeneity, homogeneity or diversity.

Connectivity Metrics
Connectivity Metrics can be the connectivity among classes or landscapes that connect directly or distribute inside the distance of the specified value or weight distance. Weight of classes or of vegetation types can be used as basic weight values for users to proceed connectivity metrics calculation.

Biodiversity is an important issue highly valued by authorities, academic institutions and non-governmental organizations. Besides, the modalities of species distribution are also popular in researches of biology and biogeography. SuperGIS Biodiversity Analyst provides metrics calculation and graph displaying of the spatial features of ecology and landscape information for users to realize the ecological meanings of each index and obtain more detailed analysis results.

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