Matches in SemOpenAlex for { <https://semopenalex.org/work/W2049043328> ?p ?o ?g. }
Showing items 1 to 89 of
89
with 100 items per page.
- W2049043328 endingPage "47" @default.
- W2049043328 startingPage "35" @default.
- W2049043328 abstract "AbstractSpatially distributed probability density functions (pdfs) are becoming more relevant to Earth scientists and ecologists because of stochastic models and new sensors that provide numerous realizations or data points per unit area. One source of these data is from multi-return airborne lidar, a type of laser that records multiple returns for each pulse of light sent towards the ground. Data from multi-return lidar is a vital tool in helping us understand the structure of forest canopies over large extents. This paper presents visualization tools to allow scientists to rapidly explore, interpret and discover characteristic distributions within the entire spatial field. The major contribution of this work is a paradigm shift which allows ecologists to think of and analyse their data in terms of full distributions, not just summary statistics. The tools allow scientists to depart from traditional parametric statistical analyses and to associate multimodal distribution characteristics to forest structures. Information on the modality and shape of distributions, previously ignored, can now be visualized as well. Examples are given using data from High Island, southeast Alaska.Keywords: GEOVISUALIZATIONLIDARDENSITY ESTIMATIONMODE FINDINGPROBABILITY DENSITY FUNCTIONSINTERACTIVE VISUALIZATION" @default.
- W2049043328 created "2016-06-24" @default.
- W2049043328 creator A5015199054 @default.
- W2049043328 creator A5016076717 @default.
- W2049043328 creator A5070373949 @default.
- W2049043328 creator A5082488171 @default.
- W2049043328 creator A5082797558 @default.
- W2049043328 date "2005-06-01" @default.
- W2049043328 modified "2023-10-06" @default.
- W2049043328 title "Visualizing Distributions from Multi-Return Lidar Data to Understand Forest Structure" @default.
- W2049043328 cites W2099111195 @default.
- W2049043328 cites W2161746820 @default.
- W2049043328 cites W2170902558 @default.
- W2049043328 cites W3147534036 @default.
- W2049043328 cites W4233014035 @default.
- W2049043328 doi "https://doi.org/10.1179/000870405x57257" @default.
- W2049043328 hasPublicationYear "2005" @default.
- W2049043328 type Work @default.
- W2049043328 sameAs 2049043328 @default.
- W2049043328 citedByCount "26" @default.
- W2049043328 countsByYear W20490433282012 @default.
- W2049043328 countsByYear W20490433282013 @default.
- W2049043328 countsByYear W20490433282014 @default.
- W2049043328 countsByYear W20490433282015 @default.
- W2049043328 countsByYear W20490433282016 @default.
- W2049043328 countsByYear W20490433282017 @default.
- W2049043328 countsByYear W20490433282018 @default.
- W2049043328 countsByYear W20490433282021 @default.
- W2049043328 crossrefType "journal-article" @default.
- W2049043328 hasAuthorship W2049043328A5015199054 @default.
- W2049043328 hasAuthorship W2049043328A5016076717 @default.
- W2049043328 hasAuthorship W2049043328A5070373949 @default.
- W2049043328 hasAuthorship W2049043328A5082488171 @default.
- W2049043328 hasAuthorship W2049043328A5082797558 @default.
- W2049043328 hasBestOaLocation W20490433282 @default.
- W2049043328 hasConcept C105795698 @default.
- W2049043328 hasConcept C117251300 @default.
- W2049043328 hasConcept C124101348 @default.
- W2049043328 hasConcept C149441793 @default.
- W2049043328 hasConcept C197055811 @default.
- W2049043328 hasConcept C202444582 @default.
- W2049043328 hasConcept C205649164 @default.
- W2049043328 hasConcept C2522767166 @default.
- W2049043328 hasConcept C31243852 @default.
- W2049043328 hasConcept C33923547 @default.
- W2049043328 hasConcept C36464697 @default.
- W2049043328 hasConcept C41008148 @default.
- W2049043328 hasConcept C51399673 @default.
- W2049043328 hasConcept C58640448 @default.
- W2049043328 hasConcept C62649853 @default.
- W2049043328 hasConcept C9652623 @default.
- W2049043328 hasConceptScore W2049043328C105795698 @default.
- W2049043328 hasConceptScore W2049043328C117251300 @default.
- W2049043328 hasConceptScore W2049043328C124101348 @default.
- W2049043328 hasConceptScore W2049043328C149441793 @default.
- W2049043328 hasConceptScore W2049043328C197055811 @default.
- W2049043328 hasConceptScore W2049043328C202444582 @default.
- W2049043328 hasConceptScore W2049043328C205649164 @default.
- W2049043328 hasConceptScore W2049043328C2522767166 @default.
- W2049043328 hasConceptScore W2049043328C31243852 @default.
- W2049043328 hasConceptScore W2049043328C33923547 @default.
- W2049043328 hasConceptScore W2049043328C36464697 @default.
- W2049043328 hasConceptScore W2049043328C41008148 @default.
- W2049043328 hasConceptScore W2049043328C51399673 @default.
- W2049043328 hasConceptScore W2049043328C58640448 @default.
- W2049043328 hasConceptScore W2049043328C62649853 @default.
- W2049043328 hasConceptScore W2049043328C9652623 @default.
- W2049043328 hasIssue "1" @default.
- W2049043328 hasLocation W20490433281 @default.
- W2049043328 hasLocation W20490433282 @default.
- W2049043328 hasOpenAccess W2049043328 @default.
- W2049043328 hasPrimaryLocation W20490433281 @default.
- W2049043328 hasRelatedWork W1971430736 @default.
- W2049043328 hasRelatedWork W1980528650 @default.
- W2049043328 hasRelatedWork W1990418105 @default.
- W2049043328 hasRelatedWork W2055869823 @default.
- W2049043328 hasRelatedWork W2348053484 @default.
- W2049043328 hasRelatedWork W2893341095 @default.
- W2049043328 hasRelatedWork W3199393239 @default.
- W2049043328 hasRelatedWork W4241043257 @default.
- W2049043328 hasRelatedWork W4249885815 @default.
- W2049043328 hasRelatedWork W4255207566 @default.
- W2049043328 hasVolume "42" @default.
- W2049043328 isParatext "false" @default.
- W2049043328 isRetracted "false" @default.
- W2049043328 magId "2049043328" @default.
- W2049043328 workType "article" @default.