This paper assesses the utility of statistical models by examining methodological issues associated with empirical analysis of hydraulic and channel geometry relationships. It also describes and presents examples of advanced statistical models
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.
To offer a more formal approach in line with classical statistical framework, the AA. develop an exact method for computing the p-values of the local Moran's Ii, local Geary's ci, and the modified Ord and Getis G statistics based
, but also puts the tests of several local statistics within a unified statistical framework.
The AA. propose a statistical model for incorporating location error into spatial data analysis. They investigate the effect of location error on the spatial lag, the covariance function, and optimal spatial linear prediction.
Computing ; Distribution of points ; Practical work ; Spatial analysis ; Spatial statistics ; Statistics ; Teaching of geography
The AA. share their experience in getting students to develop basic programming skills by providing them with exercises in descriptive statistics, nearest neighbor analysis, median center of a set of points, and networks as matrices. Ideas
A note on statistical approaches to shift-share analysis
Analyse de la variance ; Généralités sur la géographie ; Modèle ERR ; Modèle de Theil-Gosh ; Méthodologie ; Shift-share analysis ; Système stochastique
The analysis of turbulence time series: statistical and correlation approaches using the MINITAB package
Correlation ; Geophysics ; Hydrodynamics ; Model ; Runoff ; Sediment transport ; Statistics ; Time series ; Turbulence
The theoretical basis and use of statistical and correlation approaches for the analysis of turbulence time series are described. In particular, the analysis of data from high frequency current meter measurements using MINITAB is presented
Aggregation ; Demographic structure ; Model ; Spatial analysis ; Statistical bias ; Statistics ; United Kingdom
Statistical models are proposed that capture the essential features of the structure of a population composed of geographically defined groups and can encompass grouping processes and contextual effects. They are used to show how small effects
in the analysis of individual-level data can be magnified when the analysis based on aggregated data is carried out. The models provide an approach to the problem of adjusting an area-level analysis to correct for aggregation effects. The data come from the 1991
[b1] Office for National Statistics, London, Royaume-Uni
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
Temporal statistics : an application in snowfall climatology
Analysis of snowfall data demonstrates the utility of temporal statistics for quantifying temporal and geographic variations in a climatic variable's seasonal distribution.
Statistical downscaling estimates of high temperature in summer in Japan
Climatic warming ; Forecast ; Global change ; Honshu ; Japan ; Model ; Regional climate ; Regression analysis ; Statistics ; Summer ; Temperature
with the principal components of large-scale climate variables over the region using stepwise multiple regression analysis. The statistical model was evaluated by the cross validation procedure. It was confirmed that the method is applicable to the estimation of high
In this study, a statistical downscaling method was applied to estimate August mean daily maximum temperature in Japan so that the applicability of the method to extreme temperature in the region was examined. The model related the local variable
Geographical information system ; Historical geography ; Honshu ; Internet ; Japan ; Regional analysis ; Spatial statistics ; Statistics
This paper introduces an internet GIS for historical regional statistics developed by the Laboratory of Spatial Information Science, Doctoral Program in Geoenvironmental Sciences, University of Tsukuba. The paper discusses the objectives
of this project, the available data, its scope and features, and some of the prospects and challenges as an online geospatial database facility of historical statistics of Japan since the Meiji period.
Agricultural statisticsanalysis of the main requirements. Conventional and new methodologies in Remote sensing application in agriculture and hydrology.