Model-based estimation and mapping of plant density based on remotesensing and presence/absence data

• Inventories of populations are of great importance in ecological research. For monitoring plants,presence/absence (P/A) sampling is simple to conduct, since only presence or absence of aspecies on a plot needs to be registered. Estimates of plant density may be obtained from P/Adata but need to be based on model assumptions about the spatial distribution of plants. Wehave showed, in a model-based setting, how to use P/A and remote sensing data for estimatingand mapping plant density for regions and subregions, where the model assumes plant locationsto follow an inhomogeneous Poisson point process. To guard against model misspecifications,we derived a test for assessing the plausibility of the model assumptions of the inhomogeneousPoisson point process. Using empirical data from the Swedish National Forest Inventory as wellas artificial plant population data, we evaluated the performance of the suggested estimators ofplant density and the proposed test of model assumptions, respectively. 

Ämnesord

NATURVETENSKAP  -- Biologi -- Ekologi (hsv//swe)

NATURAL SCIENCES  -- Biological Sciences -- Ecology (hsv//eng)

NATURVETENSKAP  -- Matematik -- Sannolikhetsteori och statistik (hsv//swe)

NATURAL SCIENCES  -- Mathematics -- Probability Theory and Statistics (hsv//eng)

Nyckelord

Statistics

statistik

Publikations- och innehållstyp

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