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A statistical method for the detection of geographic clustering

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.

Statistical models of fluvial systems
Channel geometry ; Fluvial processes ; Model ; Multivariate analysis ; Regression analysis ; Statistics
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

Agricultural statistics analysis of the main requirements. Conventional and new methodologies in Remote sensing application in agriculture and hydrology.

Agricultural statistics analysis of the main requirements. Conventional and new methodologies in Remote sensing application in agriculture and hydrology.

Statistical test for local patterns of spatial association

Statistical test for local patterns of spatial association
Matrix analysis ; Methodology ; Spatial analysis ; Statistics ; Test
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.

Theoretical and methodological promises of geomorphological forecasting

Theoretical and methodological promises of geomorphological forecasting
Concept ; Forecast;Prediction ; Geographical information system ; Geomorphology ; Geosystem ; Methodology ; Model ; Statistics
The purpose of this paper is to formally outline some fundamental theoretical and methodological promises of geomorphological forecasting. It is shown that there is a conceptual link between field studies of spatial structures and landscape

Lichenometric dating : a commentary, in the light of some recent statistical studies

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

An approximation for the rank adjacency statistic for spatial clustering with sparse data

An approximation for the rank adjacency statistic for spatial clustering with sparse data
Methodology ; Mortality ; Simulation ; Spatial analysis ; Spatial distribution ; Statistics
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

Statistical and mathematical sources of regional science theory : map pattern analysis as an example

Statistical and mathematical sources of regional science theory : map pattern analysis as an example
Externalities ; Location ; Mathematics ; Methodology ; Regional science ; Spatial economy ; Spatial interaction ; Spatial statistics ; Statistics ; Theory

GRADISTAT : a grain size distribution and statistics package for the analysis of unconsolidated sediments

GRADISTAT : a grain size distribution and statistics package for the analysis of unconsolidated sediments
Computing ; Grain size distribution ; Methodology ; Sedimentology ; Statistics
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

Analysis of public and individual transportation in Czechia : spatial differentiation and conditional factors

Car ; Correlation ; Czech Republic ; Indicator ; Methodology ; Public transport ; Spatial differentiation ; Transport
the methodological point of view there are two main levels of observing: - the analysis of differentiation of transport opportunities through common statistical indicators characterizing the entire set (“Global Statistics”), - using local statistics, specifically
the method of spatial autocorrelation (LISA procedure). This analysis is done with using “global” correlation analysis (Pearson’s coefficient). Some theoretical remarks about statistical distribution of indicators and summary of results conclude the article

Geostatistical modelling of environmental data

Acid rain ; Atmospheric pollution ; Ecosystem ; Environment ; Forest ; Krigeage ; Pollution ; Spatial variation ; Statistics
The estimation of variogram functions is illustrated by using precipitation and deposition data. The main characteristics of the variogram and kriging are discussed and interpreted. The statistical methodology outlined in this paper is fundamental

Spatial interaction : a statistical mechanism model

Spatial interaction : a statistical mechanism model
Diffusion ; Methodology ; Population ; Spatial interaction

Új matematikai eljárások alkalmazási lehetõségei mikroklímakutatásokban

Climatology ; Methodology ; Microclimate ; Research ; Statistics
of this function can be examined in the original points of reference by statistical methods. - (JS)

The K-function method on a network and its computational implementation

Distance ; Distribution of points ; Methodology ; Network ; Spatial statistics ; Statistics

Segmentation of soil roughness profiles

Algorithm ; Methodology ; Roughness ; Slope gradient ; Soil ; Soil erosion ; Soil properties ; Spatial variation ; Statistics
The aim of this paper is to describe a new heuristic method for analysing soil roughness profiles, considering them as an assemblage of several entities that may difer in terms of statistical properties and lengths without assuming constraints
on their number and extension. The A. also derived the variability of statistical and spatial roughness properties along the profile, extracting the possible components detected inside the sample.

Searching for the elusive aggregation effect: evidence from statistical simulations

Searching for the elusive aggregation effect: evidence from statistical simulations
Aggregation ; Analysis of variance ; Correlation ; Methodology ; Regression analysis ; Spatial analysis ; Statistics

Precipitation statistics for geomorphologists: variations on a theme by Frank Ahnert

Precipitation statistics for geomorphologists: variations on a theme by Frank Ahnert
Auvergne ; England ; France ; Geomorphology ; Geomorphometry ; Kenya ; Methodology ; Precipitation ; Statistics ; United Kingdom

Statistical reporting in the States of the former USSR

Statistical reporting in the States of the former USSR
Former USSR ; Methodology ; Reliability ; Statistics

Estimates of long-term immigration to the United States : moving US statistics toward United Nations concepts

Estimates of long-term immigration to the United States : moving US statistics toward United Nations concepts
Country of origin ; Data ; Demography ; Estimation ; Immigration ; Methodology ; United States
US immigration data are revised to reflect the UN demographic concept of long-term immigration. The estimates of long-term immigration for 1983 are compared to official INS statistics on alien immigration. Significant differences emerge according

Manual and automated interpolation of climatic and geomorphic statistical surfaces: an evaluation

Manual and automated interpolation of climatic and geomorphic statistical surfaces: an evaluation
Algorithm ; Automated mapping ; Cartography ; Methodology ; Model ; Precipitation ; Rainstorm ; Statistics ; Topography

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