Digital terrain models (DTMs) are not commonly used to integrate for landscape spatial analysis. Two dimensional patch-corridor-matrix models are prototypes in landscape spatial ecology analysis. Previous studies have motivated ecologists to integrate terrain models in landscape analysis through 1) adjusting areas and distance calculations prior computing landscape indices; 2) designing new ind...

Parametric and nonparametric kernel methods dominate studies of animal home ranges and space use. Most existing methods are unable to incorporate information about the underlying physical environment, leading to poor performance in excluding areas that are not used. Using radio-telemetry data from sea otters, we developed and evaluated a new algorithm for estimating home ranges (hereafter Permi...

Roads are conspicuous components of landscapes and play a substantial role in defining landscape pattern. Previous studies have demonstrated the link between roads and their effects on ecological processes and landscape patterns. Less understood is the relationship between landscape patterns imposed by the network in relation to road network configuration, spatial heterogeneity etc. Our hypothe...

The landscape in which people live is made up of many features, which are named and have importance for cultural reasons. Prominent among these are the naming of upland features such as mountains, but mountains are an enigmatic phenomenon which do not bear precise and repeatable definition. They have a vague spatial extent, and recent research has modelled such classes as spatial fuzzy sets. We...

Common approaches to mapping green infrastructure in urbanised landscapes invariably focus on measures of land use or land cover and associated functional or physical traits. However, such onedimensional perspectives do not accurately capture the character and complexity of the landscapes in which urban inhabitants live. The new approach presented in this paper demonstrates how open-source, hig...

Landscape genetics is being increasingly applied to elucidate the role of environmental features on the population structure of terrestrial organisms. However, the potential of this framework has been little explored in aquatic ecosystems such as large rivers. Here, we used a landscape genetics approach in order to (i) document the population structure of the yellow perch (Perca flavescens) by ...

Spatial information plays a very important role in image understanding. Fuzzy mathematical morphology provides an effective basis for extracting binary and ternary spatial relationships by creating a fuzzy landscape where the value at each point corresponds to the relationship degree according to its position with respect to the reference object(s). We improve existing morphological approaches ...

ABSTRACT: Bushfire, as a major external ecological factor, diversifies bushland environments. Monitoring bushfire-prone landscape patterns and vegetation recovery after fires is critical for the long-term bushland management. Landscape ecology studies using remotely sensed imagery have been effective to identify the relationship between landscape patterns and ecological processes. This paper us...

The rapid urbanization is giving changes to China’s appearance. Urban areas, for their own sake, are encroaching on lands and villages. The traditional villages are open to exploitation for the development of tourism. They are severely destroyed and the buildings significantly altered for more economic benefits. The traditional culture has been lost; instead, modern villages are constructed. Pe...

Grouping images into (semantically) meaningful categories using low-level visual features is a challenging and important problem in content-based image retrieval. Based on these groupings, effective indices can be built for an image database. In this paper, we cast the image classification problem in a Bayesian framework. Specifically, we consider city vs. landscape classification and further c...