Original Articles

The Research Progress of Areal Interpolation

Expand
  • LREIS, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101 China

Received date: 2001-12-01

  Revised date: 2002-01-01

  Online published: 2002-03-24

Abstract

In a broad sense, spatial interpolation includes point interpolation and areal interpolation. In this article these two types of interpolation methods were reviewed and the areal interpolation which was not very popular to major people was especially introduced according to whether the interpolation methods use ancillary data or not. In the areal interpolation methods without using ancillary data, the algorithm and its characteristic of the following methods were introduced: point-based areal interpolation, areal-weighted interpolation, areal-weighted interpolation using control zones and pycnophylactic method. In the areal interpolation methods using ancillary data, the EM algorithm and the method using remote sensing data as ancillary data were introduced. And the special case of areal interpolation - statistics variables spatialization-was also introduced. In the end, these two types of interpolation methods were compared and the main research trend of areal interpolation was foreseen.

Cite this article

PAN Zhi qiang, LIU Gao huan . The Research Progress of Areal Interpolation[J]. PROGRESS IN GEOGRAPHY, 2002 , 21(2) : 156 -152 . DOI: 10.11820/dlkxjz.2002.02.008

References

[1]  h ttp:www.geog.ubc.ca cou rses k link g is.no tes ncg ia u41.h tm l

[2]  Goodch ild M F,L am N S2N.A real in terpo lation:a varian t of the trad itional sp atial p rob lem[J].Geo-p rocessing,1980,1:197-312.

[3]  Fo theringham A S,Rogerson P A.G IS and sp atial analytical p rob lem[J].In terna tiona l J ou rna l of Geog rap h ica lInf orm a tion S y stem s,1993,7(1):3-19.

[4]  Goodch ild M F.In teg rating G IS and sp atial data analysis[J].In terna tiona l J ou rna l of Geog rap h ica l Inf orm a tionS y stem s,1992,6(5):407-423.

[5]  李新,程国栋,卢玲.空间内插方法比较[J].地球科学进展,2000,15(3):260-265.

[6]  侯景儒,伊镇南等.实用地质统计学[M].北京:地质出版社,1998.

[7]  时培钟.空间插值与缺值方法的研究与应用[A].中国科学院地理科学与资源研究所硕士学位论文[C],2000.

[8]  姚长青.基于地统计学的三维空间数据插值方法及其应用研究[A].东北师范大学硕士学位论文[C],2000.

[9]  F isher P F,L angfo rd M.M odelling the erro rs in areal in terpo lation betw een zonal system s by M on to Carlo sim u la2tion[J].E nv ironm en t and P lann ing A,1995,27:211-224.

[10]  h ttp:sis.ag r.gc.ca can sis system s p ars vo lum e.h tm l

[11]  O kabe A,Sadah iro S.V ariation in coun t data tran sferred from a set of irregu lar zones to a set of regu lar zonesth rough the po in tinpo lygon m ethod[J].In terna tiona l J ou rna l of Geog rap h ica l Inf orm a tion S cience,1997,11:93-106.

[12]  Goodch ild M F,A n selin L,D eichm ann U.A framw o rk fo r the areal in terpo lation of socieconom ic data[J].E nv i-ronm en t and P lann ing A,1993,25:383-397.

[13]  Tober W R.Sm oo th p sycnop hylactic in terpo lation fo r geog rap h ical reg ion[J].J ou rna l of the A m erican S ta tistica lA ssocia tion,1979,74:519-530.

[14]  F low erdew R,Green M.A real in terpo lation and typ es of data[A].In:Ed s Fo theringham S,Rogerson P.Sp atialA nalysis and G IS[C].L ondon:T alyo r and F rancis,1994.121-145.

[15]  陈德清,万庆,万洪涛.社会经济统计数据空间化方法在洪水灾情评估中的应用探讨[J].地理研究,1998,17(增刊):79-85.

[16]  L angfo rd M,M agu ire R F,U nw in D J.T he areal in terpo lation p rob lem:estim ating pop u lation u sing rem o te sen s2ing in a G IS fram ew o rk[A].In:Ed s M asser M,B lakem o re.H and ing Geog rap h ical Info rm ation:M ethodo logyand Po ten tial A pp lication s[C].L ongm an:H arlow,E ssex,1991.55-77.

[17]  h ttp:www.geog.leed s.ac.uk p eop le a.tu rner p ap ers g isruk01.T u rner A,O p en shaw S,D isagg regativesp atial in terpo lation.

[18]  h ttp:www.geog.leed s.ac.uk staff a.tu rner p ro jects m edalu s3 T ask1.h tm T u rner A,C reating a set of socio-econom ic data su rfaces.

[19]  h ttp:www.ssc.w isc.edu cde cdew p W hen Cen su s Geog rap hy Doesn’t W o rk.p df

[20]  B racken I,M artin D.T he generation of sp atial pop u lation d istribu tion s from cen su s cen triod data[J].E nv iron2m en t and P lann ing A,1989,21:537-543.

[21]  B racken I.A su rface m odel app roach to the rep resen tation of pop u lation2related social ind icato rs[A].In:Ed sFo theringham S,Rogerson P.Sp atial A nalysis and G IS[C].L ondon:T alyo r and F rancis,1994.247-260.

[22]  B racken I,M artin D.L inkage of the 1981 and 1991 U K Cen su ses u sing su rface m odelling concep ts[J].E nv iron2m en t and P lann ing A,1995,27:279-390.

[23]  M artin D,B racken I.T echn iques fo r m odelling pop u lation2related raster databases[J].E nv ironm en t and P lan2n ing A,1991,23:1069-1075.

[24]  M artin D.A n assessm en t of su rface and zonal m odels of pop u lation[J].In terna tiona l J ou rna l of Geog rap h ica lInf orm a tion S y stem s,1996,10:973-989.

[25]  h ttp:cen su s.ac.uk cdu su rpop

[26]  L angfo rd M,U nw in D J.Generating and m app ing pop u lation den sity su rfaces w ith in a geog rap h ical info rm ationsystem[J].T he Ca rtog rap h ic J ou rna l,1994,31:21-26.
Outlines

/