Digital representation of spatial variation of multivariate landscape data

We propose a method that has general relevance to the digital representation of spatial variation of multivariate landscape data. It is based on the average similarity that operational geographic units (OGU) have with the adjacent ones according to characters relevant understanding landscape patterns and dynamics. The method is flexible and easily executable within the technological framework of geographic information systems (GIS) that today is available even free of charge or at very low cost. An example shows how the method, applied to spatial data of a floristic project for the urban area of Trieste (NE-Italy), can identify floristically homogeneous patches and can quantify the heterogeneity of the transition zones between such patches.

[1]  S. Aronoff.  Geographic Information Systems: A Management Perspective , 1989 .

[2]  Jacek Malczewski,et al.  GIS and Multicriteria Decision Analysis , 1999 .

[3]  R. Gardner,et al.  Quantitative Methods in Landscape Ecology , 1991 .

[4]  János Podani,et al.  Introduction to the exploration of multivariate biological data , 2000 .

[5]  William L. Baker,et al.  The r.le programs for multiscale analysis of landscape structure using the GRASS geographical information system , 1992, Landscape Ecology.

[6]  David Ebdon,et al.  Statistics in geography , 1986 .

[7]  László Orlóci,et al.  Analysis of concentration and detection of underlying factors in structured tables , 1979, Vegetatio.

[8]  C. Tucker,et al.  Satellite remote sensing of total dry matter production in the Senegalese Sahel , 1983 .

[9]  P. Burrough.  Data Analysis in Community and Landscape Ecology: Spatial aspects of ecological data , 1995 .

[10]  Valerie I. Cullinan,et al.  A comparison of quantitative methods for examining landscape pattern and scale , 1992, Landscape Ecology.

[11]  David J. Maguire,et al.  Geographical Information Systems , 1993 .

[12]  D. W. Goodall,et al.  Probabilistic Methods in Classification: A Manual for Seven Computer Programs , 1991 .

[13]  János Podani,et al.  SYN-TAX IV. Computer Programs for Data Analysis in Ecology and Systematics , 1991 .

[14]  László Orlóci,et al.  On randomization testing in vegetation science: multifactor comparisons of relevé groups , 1996 .

[15]  M. Turner,et al.  LANDSCAPE ECOLOGY : The Effect of Pattern on Process 1 , 2002 .

[16]  David Ebdon,et al.  Statistics in geography: A practical approach , 1977 .

[17]  R. Lunetta,et al.  A change detection experiment using vegetation indices. , 1998 .

[18]  K. McGarigal,et al.  FRAGSTATS: spatial pattern analysis program for quantifying landscape structure. , 1995 .

[19]  R. Wittig,et al.  Urbanophob--Urbanoneutral--Urbanophil: das Verhalten der Arten gegenuber dem Lebensraum Stadt , 1985 .

[20]  D. W. Goodall,et al.  A Probabilistic Similarity Index , 1964, Nature.

[21]  A. G. Fabbri.  Spatial Data Analysis in Raster-Based GIS: An Introduction to Geometric Characterization , 1991 .

[22]  Ladislav Mucina,et al.  Trend Surface Analysis and Splines for Pattern Determination in Plant Communities , 1991 .

[23]  D. Blough.  Steady state data and a quantitative model of operant generalization and discrimination. , 1975 .

[24]  László Orlóci,et al.  Computer assisted vegetation analysis , 1991, Handbook of vegetation science.

[25]  E. Feoli,et al.  Analysis of vegetation structural diversity by Burnaby's similarity index , 2004, Plant Ecology.

[26]  Bruce T. Milne,et al.  Lessons from applying fractal models to landscape patterns , 1991 .

[27]  Robert V. O'Neill,et al.  Pattern, process, and predictability: the use of neutral models for landscape analysis , 1991 .

[28]  Improving knowledge of urban vegetation by applying GIS technology to existing databases , 2007 .

[29]  Therese M. Donovan,et al.  Variation in Local-Scale Edge Effects: Mechanisms and landscape Context , 1997 .

[30]  Brent N. Holben,et al.  Accuracy of the AVHRR vegetation index as a predictor of biomass, primary productivity and net CO2 flux , 1989, Vegetatio.

[31]  E. R. Olsen,et al.  A modified fractal dimension as a measure of landscape diversity , 1993 .

[32]  George R. Parker,et al.  Relationships between landcover proportion and indices of landscape spatial pattern , 1992, Landscape Ecology.

[33]  Enrico Feoli,et al.  Hierarchical Levels in Syntaxonomy Based on Information Functions , 1980 .