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Bisectors, Buffers, and Base Maps

dc.contributor.authorArlinghaus, Sandra Lach
dc.date.accessioned2008-05-06T01:13:08Z
dc.date.available2008-05-06T01:13:08Z
dc.date.issued2001-12-21
dc.identifier.citationArlinghaus, Sandra L. "Bisectors, Buffers, and Base Maps." Solstice: An Electronic Journal of Geography and Mathematics, Volume XII, Number 2. Ann Arbor: Institute of Mathematical Geography, 2001. Persistent URL (URI): http://hdl.handle.net/2027.42/58352en_US
dc.identifier.issn1059-5325
dc.identifier.urihttps://hdl.handle.net/2027.42/58352
dc.descriptionOnce the file is unzipped, launch index.html in an internet browser window.en_US
dc.description.abstractIn 1911, Thiessen and Alter [21] wrote on the analysis of rainfall using polygons surrounding rain gauges. Given a scatter of rain gauges, represented abstractly as dots, partition the underlying plane into polygons containing the dots in such a way that all points within any given polygon are closer to the rain gauge dot within that polygon than they are to any other gauge-dot. The geometric construction usually associated with performing this partition of the plane into a mutually exclusive, yet exhaustive, set of polygons is performed by joining the gauge-dots with line segments, finding the perpendicular bisectors of those segments, and extracting a set of polygons with sides formed by perpendicular bisectors. It is this latter set of polygons that has come to be referred to as "Thiessen polygons" (and earlier names such as Dirichlet region or Voronoi polygon, see Coxeter [4]). The construction using bisectors is tedious and difficult to execute with precision when performed by hand. Kopec (1963) [11] noted that an equivalent construction results when circles of radius the distance between adjacent points are used. Indeed, that construction is but one case of a general construction of Euclid. Like Kopec, Rhynsburger (1973) [20] also sought easier ways to construct Thiessen polygons: Kopec through knowledgeable use of geometry and Rhynsburger through the development of computer algorithms. The world of the Geographical Information System (GIS) software affords an opportunity to combine both.en_US
dc.format.extent169857 bytes
dc.format.mimetypeapplication/zip
dc.language.isoen_USen_US
dc.publisherInstitute of Mathematical Geographyen_US
dc.relation.ispartofseriesSolstice, Volume XII, Number 2en_US
dc.subjectBisectorsen_US
dc.subjectBuffersen_US
dc.titleBisectors, Buffers, and Base Mapsen_US
dc.typeAnimationen_US
dc.typeArticleen_US
dc.typeImageen_US
dc.subject.hlbsecondlevelGeography and Maps
dc.subject.hlbtoplevelSocial Sciences
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumAdjunct Professor of Mathematical Geography and Population-Environment Dynamics, School of Natural Resources and Environmenten_US
dc.contributor.affiliationotherCommunity Systems Foundationen_US
dc.contributor.affiliationotherArlinghaus Enterprisesen_US
dc.contributor.affiliationumcampusAnn Arboren_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/58352/1/sarhaus.zip
dc.owningcollnameMathematical Geography, Institute of (IMaGe)


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