ZORRO, a FORTRAN-77 program, performs a conditional randomization text on the hypothesis that two or more types of individuals are distributed in space by a random process. The space may be one-, two-, or three-dimensional, and type may be any label signifying for example, events, classes, or species. The test is conditional on actual locations where individuals are observed, rather than with respect to space itself. The test statistic is based on the nearest-neighbor distance
The measurement of departure from randomness in spatial distributions has widespread application in ...
International audienceAggregation patterns are often visually detected in sets of location data. The...
textabstractRandomly generated polytopes are used frequently to test and compare algorithms for a va...
ABSTRACT A spatial point pattern is a set of point locations distributed by a random process within ...
Uma configuração espacial de pontos é um conjunto de localizações pontuais distribuídas por um proce...
This article establishes a unified randomization significance testing framework upon which various l...
We study properties of random elds that form conditional bases and their applications in spatial sta...
Ripley’s 835 c3e function is the classical tool to characterize the spatial structure of point patt...
We present statistical tests for departures from random expectation in spatial memory tasks. We cons...
Zener card test (ZCT) can be assimilated to a random generation task (RGT). The aim was to investiga...
1. Permutation tests are important in ecology and evolution as they enable robust analysis of small ...
International audienceRipley’s K function is the classical tool to characterize the spatial structur...
The problem of testing homogeneity in contingency tables when the data are spatially correlated is c...
We propose a statistical framework that tests a hypothesis about the functional properties of a rand...
A randomized linear expected-time algorithm for computing the zonoid depth (Dyckerhoff et al 1996, M...
The measurement of departure from randomness in spatial distributions has widespread application in ...
International audienceAggregation patterns are often visually detected in sets of location data. The...
textabstractRandomly generated polytopes are used frequently to test and compare algorithms for a va...
ABSTRACT A spatial point pattern is a set of point locations distributed by a random process within ...
Uma configuração espacial de pontos é um conjunto de localizações pontuais distribuídas por um proce...
This article establishes a unified randomization significance testing framework upon which various l...
We study properties of random elds that form conditional bases and their applications in spatial sta...
Ripley’s 835 c3e function is the classical tool to characterize the spatial structure of point patt...
We present statistical tests for departures from random expectation in spatial memory tasks. We cons...
Zener card test (ZCT) can be assimilated to a random generation task (RGT). The aim was to investiga...
1. Permutation tests are important in ecology and evolution as they enable robust analysis of small ...
International audienceRipley’s K function is the classical tool to characterize the spatial structur...
The problem of testing homogeneity in contingency tables when the data are spatially correlated is c...
We propose a statistical framework that tests a hypothesis about the functional properties of a rand...
A randomized linear expected-time algorithm for computing the zonoid depth (Dyckerhoff et al 1996, M...
The measurement of departure from randomness in spatial distributions has widespread application in ...
International audienceAggregation patterns are often visually detected in sets of location data. The...
textabstractRandomly generated polytopes are used frequently to test and compare algorithms for a va...