Allocation using a heterogeneous space Voronoi diagram

被引:0
作者
Xin Feng
Alan T. Murray
机构
[1] University of California at Santa Barbara,Department of Geography
来源
Journal of Geographical Systems | 2018年 / 20卷
关键词
Spatial heterogeneity; Voronoi diagram; Allocation; R4 Transportation Economics;
D O I
暂无
中图分类号
学科分类号
摘要
Spatial allocation is a fundamentally important process reflecting customer behavior, efficient service assignment, districting, etc., and is at the heart of many spatial analytical methods and processes. The Voronoi diagram has proven to be an important mathematical and geometric construct and has been widely applied in various fields because it is intuitive and efficient in the allocation and/or partitioning of space. However, existing Voronoi diagram approaches rely on the assumption that the attribute(s) of continuous space (non-generator points) is homogenous, which often is not the case for many application contexts. This paper introduces the concept of spatial heterogeneity in allocation. A new Voronoi diagram is defined—the heterogeneous Voronoi diagram. A geographic information system-based method is developed to derive the heterogeneous Voronoi diagram using discretized spatial allocation properties. Application of the heterogeneous Voronoi diagram is reported for a planning problem involving emergency drone delivery. Results show that response potential is over- and underestimated when heterogeneity and travel obstacles are disregarded. Further, feasibility, usefulness, and significance are demonstrated for incorporating geographic heterogeneity in the allocation process.
引用
收藏
页码:207 / 226
页数:19
相关论文
共 100 条
[1]  
Anselin L(1988)Lagrange multiplier test diagnostics for spatial dependence and spatial heterogeneity Geogr Anal 20 1-17
[2]  
Bakolas E(2010)The Zermelo–Voronoi diagram: a dynamic partition problem Automatica 46 2059-2067
[3]  
Tsiotras P(1974)Delaunay triangles: an alternative approach to point pattern analysis Process Assoc Am Geogr 6 26-29
[4]  
Boots BN(1980)Weighting thiessen polygons Econ Geogr 56 248-259
[5]  
Boots BN(1997)Modeling retail trade areas using higher-order, multiplicatively weighted Voronoi diagrams J Retail 73 519-536
[6]  
Boots B(2014)Retail store density and the cost of greenhouse gas emissions Manag Sci 60 1907-1925
[7]  
South R(2002)Public use of automated external defibrillators N Engl J Med 347 1242-1247
[8]  
Cachon GP(1999)A raster-based method for computing Voronoi diagrams of spatial objects using dynamic distance transformation Int J Geogr Inf Sci 13 209-225
[9]  
Caffrey SL(2014)Understanding the drone epidemic Comput Law Secur Rev 30 230-246
[10]  
Willoughby PJ(1984)Sensitivity, accuracy, and safety of an automatic external defibrillator: report of a field evaluation Lancet 324 318-320