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apcf: Adapted Pair Correlation Function
Nuske, Robert;
Nuske, Robert;
apcf: Adapted Pair Correlation Function
An R package for calculating the adapted pair correlation function which transfers the concept of the pair correlation function from point patterns to patterns of objects of finite size and irregular shape (eg. lakes within a country). The pair correlation function describes the spatial distribution of objects, e.g. random, aggregated or regularly spaced. This is a reimplementation of the method suggested by Nuske et al. (2009) <doi:10.1016/j.foreco.2009.09.050> using the library 'GEOS'.
{"references": ["Nuske et al. (2009) Adapting the pair-correlation function for analysin g the spatial distribution of canopy gaps. Forest Ecology and Management 259(1): 107\u2013116. DOI: 10.1016 /j.foreco.2009.09.050"]}
point pattern, R, pair correlation function, spatial statistics
point pattern, R, pair correlation function, spatial statistics
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).0 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average views 359 downloads 18 citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).0 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average - 359views18downloads
citations
Citations provided by BIP!
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
Citations provided by BIP!popularityPopularity provided by BIP!
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
Popularity provided by BIP!influenceInfluence provided by BIP!
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
Influence provided by BIP!impulseImpulse provided by BIP!
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
Impulse provided by BIP!viewsViews provided by UsageCounts
Views provided by UsageCountsdownloadsDownloads provided by UsageCounts
Downloads provided by UsageCounts 0
Average
Average
Average
359
18
An R package for calculating the adapted pair correlation function which transfers the concept of the pair correlation function from point patterns to patterns of objects of finite size and irregular shape (eg. lakes within a country). The pair correlation function describes the spatial distribution of objects, e.g. random, aggregated or regularly spaced. This is a reimplementation of the method suggested by Nuske et al. (2009) <doi:10.1016/j.foreco.2009.09.050> using the library 'GEOS'.
{"references": ["Nuske et al. (2009) Adapting the pair-correlation function for analysin g the spatial distribution of canopy gaps. Forest Ecology and Management 259(1): 107\u2013116. DOI: 10.1016 /j.foreco.2009.09.050"]}