Progress in Spatial Demography.

摘要: BACKGROUND Demography is an inherently spatial science, yet the application of data and methods to demographic research has tended lag that other disciplines. In recent years, there been a surge in interest adding perspective demography. This sharp rise driven part by rapid advances geospatial data, new technologies, analysis. OBJECTIVES We offer brief introduction four advanced analytic methods: econometrics, geographically weighted regression, multilevel modeling, pattern look at both used insights can be gained applying processes outcomes. To help illustrate these substantive insights, we introduce six papers are included Special Collection on Spatial Demography. close with some predictions for future, as anticipate thinking use technology, analytical will change how many demographers address important questions. CONCLUSION Many questions studied framed using approaches. become even more evident changes volume, source, form available data-much it geocoded-further alter landscape, ultimately conceptual models demographers. overview provides rapidly changing field.