نتایج جستجو برای: spatial statistic
تعداد نتایج: 380260 فیلتر نتایج به سال:
the objective of this study is to develop a novel methodology integrating remote sensing, geographic information system technology and local spatial autocorrelation geo-computation for quick drought assessment. one group of drought indices, based on the condition of the vegetation, includes the normalized difference vegetation index (ndvi), anomaly of normalized difference vegetation index (ndv...
BACKGROUND Although the detection rate is decreasing, the proportion of new cases with WHO grade 2 disability (G2D) is increasing, creating concern among policy makers and the Brazilian government. This study aimed to identify spatial clustering of leprosy and classify high-risk areas in a major leprosy cluster using the SatScan method. METHODS Data were obtained including all leprosy cases d...
BACKGROUND The Department of Defense Military Health System operates a syndromic surveillance system that monitors medical records at more than 450 non-combat Military Treatment Facilities (MTF) worldwide. The Electronic Surveillance System for Early Notification of Community-based Epidemics (ESSENCE) uses both temporal and spatial algorithms to detect disease outbreaks. This study focuses on s...
Moran's I statistic measures the spatial autocorrelation i a random variable measured at discrete locations in space. Permutation procedures test the null hypothesis that the observed Moran's I value is no greater than that expected by chance. The spatial autocorrelation of gross basal area increment is analyzed for undisturbed, naturally regenerated stands in three Georgia forest ypes: 1obloll...
Early studies of breast cancer microarray data used linear models to quantify the relationship between measures of gene expression (GE) and copy number (CN) obtained from tumour samples. Motivated by a study of women with axillary node-negative breast cancer, we propose a regression-based scan statistic to identify within-chromosome clusters of genetic probes that exhibit association between GE...
The above testing procedures are all motivated by the spatial autoregressive model of residual errors. So before moving on to spatial regression analyses of areal data, it is appropriate to consider certain alternative measures of spatial association that are also based on spatial weights matrices. By far the most important of these for our purposes are the so-called G-statistics, developed by ...
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