Based on growth stages and patterns of a malignant cancer tumor inside a human's body, a sustainable, realistic and practical urban growth pattern is introduced applying land suitability analysis, SLEUTH urban growth modeling, landscape metrics and statistical analyses.
The study's approach, which combines scenario-based urban simulation modeling and landscape metrics, is shown to be effective in representing, understanding, and predicting the spatial temporal dynamics and patterns of urban evolution, including urban expansion trends.
This work utilizes bird survey data, regression modeling, land-use modeling and landscape metrics to evaluate the effects of various spatial bird diversity conservation approaches on land-use allocation, land-use patterns, and biodiversity in the Shangan sub-watershed in central Taiwan.
Each model included landscape metrics describing oak forest configuration and landscape composition.
The fragmentation index was modeled using landscape metrics to assess green space fragmentation in Hong Kong.
The vector maps and data from two National Land Investigations in China, socio-economic information from government departments are used, and land use dynamic models and landscape metrics with mathematical statistical method are applied.
In this study, we show a novel approach on the use of β-diversity modeling and landscape metrics for the selection of priority conservation areas to assist the management of Magdalena Bay, one of the most important bays of Mexico.
Neural networks were developed to model the relationship between landscape metrics and pastoral wildfires, obtaining a set of significant variables which are discussed in the frame of land and livestock management in the region.
Both the location and landscape metrics based assessment for model simulation indicate that the RBFN-CA model performs better than the BPN-CA model for simulating land use changes in the study area.
We concluded that the process of selecting the most appropriate landscape metrics for modelling biodiversity is not trivial and that shortcuts to systematic evaluation of metrics should not be expected to identify appropriate indicators.
