Autoregressive process ; Krigeage ; Model ; Spatial autocorrelation ; Spatial statistics ; Statistics
The paper seeks to continue the building of a common foundation for spatial statistics and geostatistics. Equations from the conditional autoregressive model of spatial statistics for estimating missing geo-referenced data have been found
SMT : a spatial mapping tool for statistical data set
Using the GIS techniques, and supported by Auto CAD software, the A. develops a practical method to make statistical maps and a software (SMT) to make small-scale statistical maps using C language.
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.
An attempt has been made to review the available important statistical methods of regionalisation through by grouping disaggregated data into some homogeneous groups such that the inter group heterogeneity and within the group homogeneity
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.
Lichenometric dating : a commentary, in the light of some recent statistical studies
Dating ; Holocene ; Lichenometry ; Methodology ; Quaternary ; Relative dating ; Statistics
This commentary paper discusses the relative merits of new mathematical approaches to lichenometry. It highlights their strong reliance on complex statistics. The A. proposes that the success of lichenometric dating over the past 50 years has
stemmed from its relative simplicity, transparency, and general field applicability. Further more, the paper raises a more general philosophical question : can statistical complexity and high precision in a geobotanical dating technique, fraught with high
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
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
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
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 statistical approach to modelling interaction in a functional space
The purpose of the present paper is to use analogy of one of the fundamental concepts of quantum mecanics to derive a negative exponential random variable distribution defining the statistical character of the relationship between distance
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