Interactive Graphics and Local Statistics

Wilhelm, Adalbert F. X.; Steck, R.

doi:10.1111/1467-9884.00144

Cited by 16 publications

(9 citation statements)

References 1 publication

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“…CSR patterns are frequently described as clustered by viewers), when used objectively alongside quantitative measures, visualisation is a useful way of exploring trends in spatial data (see Unwin 1996;Fotheringham 1999). Plant Ecol (2006 Using local analyses, in conjunction with appropriate visualisation tools, variations within plots in aggregation can be seen and described in a way not possible using simple global statistical measures (Wilhelm and Steck 1998).…”

Section: Which Test?mentioning

confidence: 99%

A comparison of methods for the statistical analysis of spatial point patterns in plant ecology

2006

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We describe a range of methods for the description and analysis of spatial point patterns in plant ecology. The conceptual basis of the methods is presented, and specific tests are compared, with the goal of providing guidelines concerning their appropriate selection and use. Simulated and real data sets are used to explore the ability of these methods to identify different components of spatial pattern (e.g. departure from randomness, regularity vs. aggregation, scale and strength of pattern). First-order tests suffer from their inability to characterise pattern at distances beyond those at which local interactions (i.e. nearest neighbours) occur. Nevertheless, the tests explored (first-order nearest neighbour, Diggle's G and F) are useful first steps in analysing spatial point patterns, and all seem capable of accurately describing patterns at these (shorter) distances. Among second-order tests, a density-corrected form of the neighbourhood density function (NDF), a noncumulative analogue of the commonly used Ripley's K-function, most informatively characterised spatial patterns at a range of distances for both univariate and bivariate analyses. Although Ripley's K is more commonly used, it can give very different results to the NDF because of its cumulative nature. A modified form of the K-function suitable for inhomogeneous point patterns is discussed. We also explore the use of local and spatially-explicit methods for point pattern analysis. Local methods are powerful in that they allow variations from global averages to be detected and potentially provide a link to recent spatial ecological theory by taking the 'plant's-eye view'. We conclude by discussing the problems of linking spatial pattern with ecological process using three case studies, and consider some ways that this issue might be addressed.

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Section: Which Test?mentioning

confidence: 99%

A comparison of methods for the statistical analysis of spatial point patterns in plant ecology

2006

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“…Cislaghi et al, 1995;Haining et al, 1998;Unwin & Unwin, 1998;Walter, 1993b;Wilhelm & Steck, 1998). The addition of further covariates to further refine the basic disease mapping model has already been mentioned (e.g.…”

Section: Further Issues and Approaches In Disease Mappingmentioning

confidence: 99%

Spatial statistical methods in health

Bailey

2001

Cad. Saúde Pública

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“…It is acknowledged that there are multiple ways of de®ning neighbourhood (Wilhelm and Steck 1998;Unwin and Unwin 1998) and it is important that alternative methods are available within an ESDA system. Resel processing o¨ers a conceptual model for exploring locations that ful®ls the¯exibility required by ESDA.…”

Section: Exploratory Data Analysismentioning

confidence: 99%

Resel filtering to aid visualisation within an exploratory data analysis system

Moore¹

2000

J Geograph Syst

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The work leading to this paper has been designed around the fusion of two concepts: Exploratory Data Analysis (EDA) and resel processing.Socio-economic data are collected in irregular spatial units that are here described as resels. An EDA system, RESEL, has been developed to demonstrate and apply methods that have been adapted from ®ltering processes on regular gridded data to an irregularly tessellated surface. Problems both in adapting ®lter algorithms and applying resel geometry were found and the spatial science developed is discussed at length. An EDA system was used so that patterns in enumeration district census data could be visually enhanced and, at the same time, the process of resel ®ltering itself explored. The results from resel ®ltering are described and ways in which they may provide a new methodology for visualisation and spatial data analysis are discussed.

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Interactive Graphics and Local Statistics

Cited by 16 publications

References 1 publication

A comparison of methods for the statistical analysis of spatial point patterns in plant ecology

A comparison of methods for the statistical analysis of spatial point patterns in plant ecology

Spatial statistical methods in health

Resel filtering to aid visualisation within an exploratory data analysis system

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