A statistical method for the detection of geographic clustering
Methodology ; Probability ; Spatial analysis ; Spatial autocorrelation ; Statistics ; Test
local statistics. Local statistics for data on a regular grid of cells are first defined by using a Gaussian kernel. Results from integral geometry are used to find the probability that the maximum local statistic exceeds a given critical value.
Multiscale statistical models for hierarchical spatial aggregation
Data analysis ; Model ; Scale ; Space time ; Spatial aggregation ; Spatial analysis ; Statistics
The AA. introduce a new, general framework for multiscale statistical modeling and inference that is explicitly designed for a broad class of geographic data. The key structural assumption underlying these models is that of a set of hierarchically
The rank adjacency statistic D provides a simple method to assess regional clustering. The usual normal approximation is found to give inaccurate results if the data are sparse and some regions have tied ranks. Ajusted formulae for the moments of D
Grain size analysis is an essential tool for classifying sedimentary environments. A computer program called GRADISTAT has been written for the rapid analysis of grain size statistics from any of the standard measuring techniques, such as sieving
Correlation ; Distance ; Distribution of points ; Population ; Spatial aggregation ; Spatial analysis ; Spatial distribution ; Statistics ; United States of America
The paper presents an approach for spatial correlation analysis for count variables by comparing their cumulative spatial distributions. Using the concept of LSCDF in classical statistics, it shows that location-specific and its associated K-S-like
statistic, which indicate the magnitude of difference between the two spatial distributions, are highly consistent over different levels of spatial scale. The two LSCDFs can provide a geographic description of the two spatial distributions of population
Modeling air quality in urban areas : a cell-based statistical approach
Air quality ; Atmospheric pollution ; Ozone ; Pollution ; Statistics ; Town ; United States of America ; Urban environment
Statistical regression models are presented that explain the observed variations, across USA urban areas, in the concentrations of two major pollutants, ozone and carbon monoxide. Model specification and estimation are based on an explicit and new
A statistical relationship between El Niño-Southern Oscillation and Florida wildfire occurrence
Analysis of variance ; Atmospheric dynamics ; Climate oscillation ; El Niño ; Fire ; Florida ; Global change ; Natural hazards ; Ocean atmosphere interaction ; Statistics ; Surface temperature ; Thermal anomaly ; Twentieth Century ; United States
). This research shows that a statistically significant relationship exists between ENSO conditions and annual wildfire occurrence in Florida when ENSO conditions are treated as a potential precursor to wildfire conditions.
Czech Republic ; Peripheral region ; Region ; Statistical analysis
The possibilities of using statistical analysis for Czech peripheral regions are examinated. The types of traditional peripheral areas with a low settlement density and prevailing agricultural structure are evaluated. A definition of peripheral
In this paper, the degree of statistical variance in fabric data for 2 types of subglacial till from Breidamerkurjøkull, Iceland. The experiments show that, for each till type, the observed between-sample variability in the fabrics lies within
This paper deals with the characteristics of residential mobility at different generations of large scale housing estates. The first part of the study is based on official statistics analysing the socio-demographic characters of the 4 selected
Istanbul ; Land use ; Model ; Modelling ; Statistics ; Turkey ; Urban area
On the basis of satellite image analysis, the spreading of urban-industrial land use on Kocaeli peninsula between 1994 and 1998 could be described and predicted by means of an empirical, spatial-statistical model, using topological and topographical
The AA. present the results of a statistical-climatological study of evaporation from the water surface in Wroclaw and its variability in the years 1946-1995. The evaporation was characterized by year-to-year variability in the annual, half-year
robust to the method of statistical analysis. Low income and unemployment are also significant predictors of exposure, although results vary depending on the method of analysis. This result emphasizes the value of GIS and spatial statistical techniques
Dendrology ; Germany ; Hessen ; Mass movement ; Slope ; Slope dynamics ; Statistics
A detailed dendrogeomorphological landslide investigation has been carried out at the Tertiary escarpment in northwest Rheinhessen, Germany. For the first time, analysis of shrub growth curves using optical and statistical techniques has