Macro-Level Activity Spaces: A Reply.
This article presents author's clarification in response to A. Stewart Fotheringham's comments about his article on macro-level activity space research. The author denies Fotheringham's comments on the gravity model used by him to draw conclusions about visitation patterns between U.S. cities. He cl...
| Publicado en: | Professional Geographer Vol. 38; no. 1; pp. 69 - 71 |
|---|---|
| Autor principal: | |
| Formato: | Artículo |
| Publicado: |
Taylor & Francis Ltd
Feb86
|
| Materias: | |
| 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=15547030&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 15547030 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00330124 PGG jtl: Professional Geographer issn: 00330124 maglogo: Y pubinfo: dt: Feb86 vid: 38 iid: 1 pid: 377 pub: Taylor & Francis Ltd artinfo: ui: 15547030 10.1111/j.0033-0124.1986.00069.x ppf: 69 ppct: 2 formats: tig: atl: Macro-Level Activity Spaces: A Reply. aug: au: White, Stephen E. affil: Kansas State University. su: Geography -- Statistical methods Log-linear models Regression analysis Estimation theory Geography -- Methodology Metropolitan areas United States sug: subj: United States Geography -- Statistical methods Log-linear models Regression analysis Estimation theory Geography -- Methodology Metropolitan areas ab: This article presents author's clarification in response to A. Stewart Fotheringham's comments about his article on macro-level activity space research. The author denies Fotheringham's comments on the gravity model used by him to draw conclusions about visitation patterns between U.S. cities. He claims that the distance-decay curves that are depicted in his article are valuable for drawing conclusions for two reasons. First, the slopes of the curves are unbiased and can be compared, as claimed. Second, the author clarifies that the variance in the degree to which the constants were underestimated is likely to be small because the range of R values for the six equations is not very large and, as Fotheringham noted, the underestimation decreases as the R value approaches one. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 1986 holdings: @attributes: islocal: N |
|---|