View source for Scaling problems in statistics

'''Project Title:''' Scaling issues in forest information procurement
 
*'''Funding:''' DFG Research training group, GRK 1644
 
*'''Duration:''' 2010-2013
 
*'''Link:''' [http://www.uni-goettingen.de/en/156579.html http://www.uni-goettingen.de/en/156579.html]
 
*'''Coordination:''' Prof. Dr. Christoph Kleinn 

*'''Project researcher:''' Philip Mundhenk


 
==Background==
Most activities in forestry are scale related, be it in management,  policy processes, or research. While information for operational forest  planning is needed on a stand level, strategic planning and policy  formulation requires information on a national, regional or even global  level. On each level data from various sources and thus, at different  scales are used. Such information needs to be transparent, consistent,  and methodically sound in order to serve as a reliable base for decision  makers. 

==Project Goals==
Our research focuses on the role of spatial scale in [[forest definition]]s and [[forest boundary|forest edge]]. The widely used [[minimum crown cover]] criterion in  forest definitions and its effects an [[estimating forest area|forest area]] estimation as a  function of differently structured forests is investigated. Furthermore,  the issue of scale in the context of data acquisition of Trees outside  Forests (ToFs) is studied. Our goal is to improve and develop new  methods to identify ToF resources from satellite images at different  geometric, spatial and [[radiometric resolution]]s. In this context, various  [[:category:plot design|response designs]] (point, line and area observations) at various scales  are examined to improve ToF assessments. 

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