ANALYTICAL ALTERNATIVES TO THE MONTE CARLO SIMULATION OF SPATIAL DIFFUSION.
Focuses on a single map of the spread of an innovation produced from a Monte Carlo simulation which is equivalent from the viewpoint of sampling theory to a random sample size on drawn from the set of all possible maps. Recommended practice in the simulation of diffusion; Rationale for repetitive si...
| Publicado en: | Annals of the Association of American Geographers Vol. 65; no. 2; pp. 163 - 177 |
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| Formato: | Artículo |
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Taylor & Francis Ltd
Jun75
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=14532610&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 14532610 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00045608 AAG jtl: Annals of the Association of American Geographers issn: 00045608 maglogo: Y pubinfo: dt: Jun75 vid: 65 iid: 2 pid: 377 pub: Taylor & Francis Ltd artinfo: ui: 14532610 10.1111/j.1467-8306.1975.tb01028.x ppf: 163 ppct: 14 formats: tig: atl: ANALYTICAL ALTERNATIVES TO THE MONTE CARLO SIMULATION OF SPATIAL DIFFUSION. aug: au: Yapa, Lakshman S. affil: Assistant Professor of Geography, Boston University, Boston, MA 02215 su: Statistical sampling Monte Carlo method Simulation methods & models Sample size (Statistics) Maps Approximation theory sug: subj: Statistical sampling Monte Carlo method Simulation methods & models Sample size (Statistics) Maps Approximation theory keyword: Diffusion operator Monte Carlo simulation Random vector variable Social communication Spatial diffusion ab: Focuses on a single map of the spread of an innovation produced from a Monte Carlo simulation which is equivalent from the viewpoint of sampling theory to a random sample size on drawn from the set of all possible maps. Recommended practice in the simulation of diffusion; Rationale for repetitive simulation which lies in the statistical behavior of the sampling process. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 1975 holdings: @attributes: islocal: N |
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