background geographic information system (gis) software has been used in health care systems to display and analyze spatial pattern of diseases and health services. objectives this study was performed to assess spatial patterns of colon’s pathologic lesions based on the pathologic reports and assess whether it is possible to use gis software in health services. patients and methods archives of ...

The Moran Coe1⁄2cient spatial autocorrelation index can be decomposed into orthogonal map pattern components. This decomposition relates it directly to standard linear regression, in which corresponding eigenvectors can be used as predictors. This paper reports comparative results between these linear regressions and their auto-Gaussian counterparts for the following georeferenced data sets: Co...

Citrus tree change detection is of great importance for citrus production (inventory) analysis and forecasting. The National Agricultural Statistics Service’s recent citrus GIS modernization effort built the GIS infrastructure for the entire State of Florida. To detect changes in citrus acreage, it is necessary to detect not only the land coverage changes between the citrus groves and other lan...

continuous soil quality evaluation in is necessary agricultural regions to sustainable soil management and profitable agricultural production. the objectives of this study were comprised of an evaluation of soil quality utilizing integrated quality index (iqi) along with its spatial distribution in qazvin province. iqi was calculated and its spatial changes analyzed using different interpolatio...

This paper presents a study that aimed to explore a range of techniques for analysing the spatial relationship between population density and geographical features of interest. Three categories of spatial analysis techniques were explored: traditional methods including descriptive statistics and spatial distribution maps, spatial autocorrelation statistics namely Moran’s global I and Anselin’s ...

This paper presents a new method for human activity recognition using depth sequences. Each depth sequence is represented by three depth motion maps (DMMs) from three projection views (front, side and top) to capture motion cues. A feature extraction method utilizing spatial and orientational auto-correlations of image local gradients is introduced to extract features from DMMs. The gradient lo...

INTRODUCTION Urban transit accident are a global public health problem. The objective of this study was to describe the profile of the victims and the occurrences of urban transit accidents attended to by emergency mobile care services (Serviço de Atendimento Móvel de Urgência- SAMU) in Recife, and their distribution based on spatial analysis. METHODOLOGY An ecological study, developed throug...

Spatial ecological patterns reflect the underlying processes that shape the structure of species and communities. Mechanisms like intra- and inter-specific competition, dispersal and host-pathogen interactions can act over a wide range of scales. Yet, the inference of such processes from patterns is a challenging task. Here we call attention to a quite unexpected phenomenon in the extensively s...

Satellite imagery at multiple temporal, spatial, and radiometric resolutions and spatial extents provides a unique opportunity for examining landscape-level, spatial patterns consisting of a finite set of categories mapped onto regular lattices. Landscape pattern indices (LPIs) have become increasingly popular for quantifying and characterizing various aspects of these spatial patterns. This pa...