The firing pattern of entorhinal ‘grid cells’ is thought to provide an intrinsic metric for space. We report a strong experiencedependent environmental influence: the spatial scales of the grids (which are aligned and have fixed relative sizes within each animal) vary parametrically with changes to a familiar environment’s size and shape. Thus grid scale reflects an interaction between intrinsi...

Based on a spatially-distributed sediment budget across the Murray Darling Basin, costs of achieving a range of sediment reduction targets were estimated for a number of locations. Four investment prioritization scenarios were tested to identify the most cost-effective strategy to control suspended sediment loads. The impacts of spatial heterogeneity of sediment transport and varying the spatia...

Because data on the distribution of most species are limited, prioritizing sites for conservation requires the use of indicator groups to represent overall diversity. The purpose of this study is to assess the utility of different subsets of the South American mammal fauna in representing the overall diversity of South American terrestrial mammals, percentage of endangered and restricted-range ...

Invasive species are one of the most significant threats to native species diversity, and identifying the factors that make places more or less invasible has been one of the most important issues in the study of invasions (Wilcove et al., 1998; Pimentel et al., 2000). From a theoretical perspective, the reasons some communities are more invasible than others is a question that continues to intr...

Spatial experience, or how humans experience a given space, has been pivotal topic especially in urban-scale environments. On the human scale, HCI researchers have mostly investigated personal meanings aesthetic and embodied experiences. In this paper, we investigate scale as an ensemble of individual spatial features. Through large-scale online questionnaires first collected rich set features ...

Detailed population information is crucial for the micro-scale modeling and analysis of human behavior in urban areas. Since it is not available on the basis of individual persons, it has become necessary to derive data from aggregated census data. A variety of approaches have been published in the past, yet they are not entirely suitable for use in the micro-scale context of highly urbanized a...

A powerful framework for the representation, characterization and analysis of two-dimensional shapes, with special attention given to neurons, is presented. This framework is based on a recently reported approach to scale space skeletonization and respective reconstructions by using label propagation and the exact distance transform. This methodology allows a series of remarkable properties, in...

The essence of image texture is typically understood by two aspects. First, within a texture-pattern there is a significant variation in intensity values between nearby pixels. Second, texture is a homogenous property at some spatial scale larger than the spatial resolution of the image. Motivated by the essential aspects of image texture, this paper proposes a novel methodology that combines t...

The main objective of this study is to present an improved modeling technique called Vegetation ET (VegET) that integrates commonly used water balance algorithms with remotely sensed Land Surface Phenology (LSP) parameter to conduct operational vegetation water balance modeling of rainfed systems at the LSP’s spatial scale using readily available global data sets. Evaluation of the VegET model ...