Paper;Scope;Citations "Perry 1995";"The pattern of spatial distribution of Dalbergiacearensis saplings and adults were investigated with spatial analysis by distance indices, using the software Sadie Shell, version 8.0. The aggregation index (Ia) was used to explore spatial pattern.";205 "Perry 1998";"SADIE methodology is discussed in this paper and reviews the method’s advantages over traditional approaches that measure only statistical variance heterogeneity. Two indices and associated tests are considered, one based on the total distance of the sample from a completely regular arrangement, the other from a completely crowded arrangement. A diagnostic plot is presented to aid interpretation. Methods are presented to estimate both ‘typical’ cluster size and inter-cluster distance.";225 "Perry et al. 1999";"This paper introduces a new index and four new graphical displays, termed ‘red-blue’ plots. The index may be used to detect clusters in the form of patches, comprising several nearby large counts, and in the form of gaps, comprising several nearby small counts. The methods facilitate a comprehensive definition of the size and dimension of a cluster.";266 "Dungan et al. 2002";"Case studies are used to explore the application of spatial methods. The influence of observational scale and the importance of carefully constructing both sampling design and analysis are reviewed. A set of considerations for sampling design to allow useful tests for specific scales of a phenomenon under study are provided.";432 "Perry and Dixon 2002";"A method to assess spatial association between two sets of count data is described. This uses a measure of local association for counts, based on comparison of SADIE clustering indexes of the two sets at each sample unit. The mean of the measure is represented by the simple correlation coefficient between the clustering indices of the two sets. Spatial association may be mapped for count data, and clusters of units with positive association or negative dissociation may be identified.";175 "Perry et al. 2002";"This paper provides guidance to ecologists with limited experience in spatial analysis to help in their choice of techniques. A case-study approach is used to compare analytical approaches. Guidance is provided through a taxonomy of data types, a discussion of the effects of sampling, and consideration of transformations that may be used to convert data. Key spatial analysis techniques developed in plant ecology, animal ecology, landscape ecology, geo-statistics and applied statistics are briefly reviewed. Users are encouraged to initially use simple visualisation techniques, followed by methods appropriate for the data type.";299