6533b838fe1ef96bd12a46b3
RESEARCH PRODUCT
Recent applications of point process methods in forestry statistics
Dietrich StoyanAntti Penttinensubject
Statistics and Probabilitysingle-tree modelsecond order characteristicThinningComputer scienceGeneral MathematicsDiameter at breast heightForestrymodelingvariability indicesField (geography)Point processTree (data structure)Exploratory data analysisEcological relationshipmarkcorrelationStatisticsPoint (geometry)Statistics Probability and UncertaintyecologyGibbs processintensityCox processPoint processdescription
Forestry statistics is an important field of applied statistics with a long tradition. Many forestry problems can be solved by means of point processes or marked point processes. There, the "points" are tree locations and the "marks" are tree characteristics such as diameter at breast height or degree of damage by environmental factors. Point pro- cess characteristics are valuable tools for exploratory data analysis in forestry, for describing the variability of forest stands and for under- standing and quantifying ecological relationships. Models of point pro- cesses are also an important basis of modern single-tree modeling, that gives simulation tools for the investigation of forest structures and for the prediction of results of forestry operations such as plantation and thinning.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2000-02-01 |