1. ERDC Knowledge Core
  2. Engineer Research and Development Center (ERDC)
  3. Construction Engineering Research Laboratory (CERL) - (9/9/1968 - present)
  4. Publication
  5. Technical Report
Please use this identifier to cite or link to this item: https://hdl.handle.net/11681/29352
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dc.contributor.authorLozar, Robert C.-
dc.contributor.authorTweddale, Scott A. (Scott Allen)-
dc.contributor.authorEhlschlaeger, Charles R.-
dc.contributor.authorBaxter, Carey L.-
dc.contributor.authorBurkhalter, Jeffrey A.-
dc.date.accessioned2018-09-19T13:56:02Z-
dc.date.available2018-09-19T13:56:02Z-
dc.date.issued2018-08-
dc.identifier.govdocERDC/CERL TR-18-22-
dc.identifier.urihttp://hdl.handle.net/11681/29352-
dc.identifier.urihttp://dx.doi.org/10.21079/11681/29352-
dc.descriptionTechnical Report-
dc.description.abstractThe Urban Security research project attempts to characterize sub-national populations and urban dynamics that impact indicators of urban security threats. This work used the MaxEnt (Maximum Entropy) program to de-fine the probable locations of human habitation for Chittagong Division, Bangladesh. This represents the likely first application of maximum entropy analysis to the delineation of human populations. The model was parameterized with a large number of known house locations and several predictor geographic information system (GIS) data layers that might influence the geographic distribution of human habitation. Analyses and tests done using MaxEnt indicated that the MaxEnt model effectively delineated the probability distribution of human habitation based on a series of inputs based on a series of inputs from three data sources: Landsat NaturalVue TM (Thematic Mapper) imagery, Shuttle Radar Topography Mission (SRTM) elevation, and OpenStreetMap roads. Results show that, by using remotely-sensed data and “presence only” samples of human habitation, it is possible to estimate the habitation distribution probability based on sound statistical procedures used in MaxEnt.en_US
dc.description.tableofcontentsAbstract .......................................................................................................................................................... ii Tables and Figures ........................................................................................................................................ iv Preface ............................................................................................................................................................. v Unit Conversion Factors .............................................................................................................................. vi Acronyms and Abbreviations .....................................................................................................................vii 1 Introduction ............................................................................................................................................ 1 1.1 Background ..................................................................................................................... 1 1.2 Objective .......................................................................................................................... 2 1.3 Approach ......................................................................................................................... 2 1.4 Scope ............................................................................................................................... 3 2 Maximum Entropy Analysis with MaxEnt ........................................................................................ 4 3 Data Input to MaxEnt ........................................................................................................................... 6 3.1 Predictor layers ............................................................................................................... 6 3.2 Sample locations of human habitation (presence sites) .............................................. 8 4 Modeling Human Population Distribution with MaxEnt ............................................................. 11 4.1 Testing alternatives ....................................................................................................... 11 4.2 Maximum entropy analysis household probability result ........................................... 13 4.2.1 Complete study area results .................................................................................................. 13 4.2.2 Evaluation of human habitation model ................................................................................. 16 4.2.3 Analysis of variable contributions ......................................................................................... 19 5 Conclusions and Recommendation ................................................................................................ 21 References ................................................................................................................................................... 22 Report Documentation Page (SF 298) ................................................................................................... 24-
dc.format.extent34 pages / 1.48 Mb-
dc.format.mediumPDF/A-
dc.language.isoen_USen_US
dc.publisherConstruction Engineering Research Laboratory (U.S.)en_US
dc.publisherEngineer Research and Development Center (U.S.)en_US
dc.relation.ispartofseriesTechnical Report (Engineer Research and Development Center (U.S.)) ; no. ERDC/CERL TR-18-22-
dc.rightsApproved for Public Release; Distribution is Unlimited-
dc.sourceThis Digital Resource was created in Microsoft Word and Adobe Acrobat-
dc.subjectCities and townsen_US
dc.subjectSociology, Militaryen_US
dc.subjectHuman beings--Geographical distributionen_US
dc.subjectGeospatial data--Analysisen_US
dc.subjectGeographic information systemsen_US
dc.subjectMaxEnten_US
dc.subjectMaximum entropy analysisen_US
dc.titleTesting maximum entropy analysis to define population distributionsen_US
dc.typeReporten_US
Appears in Collections:Technical Report

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