Scale invariant measures of pattern intensity and grain: A simulation experiment
We propose new dimensionless and scale-invariant measures for detection of pattern intensity, deined as the level of aggregation of individuals regardless their kind, and pattern grain, the level of segregation among individuals of at least two different kinds in point-pattern spatial data using tes...
| Main Authors: | , , |
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| Format: | Journal Article |
| Published: |
2000
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| Online Access: | http://hdl.handle.net/20.500.11937/30800 |
| _version_ | 1848753193517842432 |
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| author | Mucina, Ladislav Geisselbrecht, J. Geisselbrecht-Taferner, L. |
| author_facet | Mucina, Ladislav Geisselbrecht, J. Geisselbrecht-Taferner, L. |
| author_sort | Mucina, Ladislav |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | We propose new dimensionless and scale-invariant measures for detection of pattern intensity, deined as the level of aggregation of individuals regardless their kind, and pattern grain, the level of segregation among individuals of at least two different kinds in point-pattern spatial data using tessellation methodology. Both real and simulated data on spatial distribution of plants in ecological communities show that the proposed parameters can be considered fingerprints of particular point patterns. This approach allows definition of both pattern intensity and grain for any kind of tessellated plane in an operational way, rendering these available for quantification and testing. |
| first_indexed | 2025-11-14T08:20:37Z |
| format | Journal Article |
| id | curtin-20.500.11937-30800 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T08:20:37Z |
| publishDate | 2000 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-308002017-09-13T15:52:28Z Scale invariant measures of pattern intensity and grain: A simulation experiment Mucina, Ladislav Geisselbrecht, J. Geisselbrecht-Taferner, L. We propose new dimensionless and scale-invariant measures for detection of pattern intensity, deined as the level of aggregation of individuals regardless their kind, and pattern grain, the level of segregation among individuals of at least two different kinds in point-pattern spatial data using tessellation methodology. Both real and simulated data on spatial distribution of plants in ecological communities show that the proposed parameters can be considered fingerprints of particular point patterns. This approach allows definition of both pattern intensity and grain for any kind of tessellated plane in an operational way, rendering these available for quantification and testing. 2000 Journal Article http://hdl.handle.net/20.500.11937/30800 10.1023/A:1009667016229 restricted |
| spellingShingle | Mucina, Ladislav Geisselbrecht, J. Geisselbrecht-Taferner, L. Scale invariant measures of pattern intensity and grain: A simulation experiment |
| title | Scale invariant measures of pattern intensity and grain: A simulation experiment |
| title_full | Scale invariant measures of pattern intensity and grain: A simulation experiment |
| title_fullStr | Scale invariant measures of pattern intensity and grain: A simulation experiment |
| title_full_unstemmed | Scale invariant measures of pattern intensity and grain: A simulation experiment |
| title_short | Scale invariant measures of pattern intensity and grain: A simulation experiment |
| title_sort | scale invariant measures of pattern intensity and grain: a simulation experiment |
| url | http://hdl.handle.net/20.500.11937/30800 |