Dasymetric Spatiotemporal Interpolation

被引：15
|
作者：
Mennis, Jeremy [1 ]
机构：
[1] Temple Univ, Dept Geog & Urban Studies, Philadelphia, PA 19122 USA
来源：
PROFESSIONAL GEOGRAPHER | 2016年 / 68卷 / 01期
关键词：
dasymetric; interpolation; population estimation; spatiotemporal; AREAL INTERPOLATION; POPULATION; DENSITIES;
D O I：
10.1080/00330124.2015.1033669
中图分类号：
P9 [自然地理学]; K9 [地理];
学科分类号：
0705 ; 070501 ;
摘要：
This research applies the principles of dasymetric mapping to spatiotemporal interpolation by extending the spatial concepts of zone and area to their temporal analogs of interval and duration, respectively. An example application of dasymetric spatiotemporal interpolation using crime event data is presented. Results indicate that dasymetric spatiotemporal interpolation significantly improves the accuracy of estimates over areal or duration weighting. In addition, even when dasymetric interpolation in either the spatial or temporal dimension is relatively weak, combining dasymetric estimation in both space and time dimensions simultaneously has the potential to amplify the accuracy of the overall dasymetric estimation.
引用
收藏
页码：92 / 102
页数：11
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