基于RS和GIS的人口估计方法研究综述
收稿日期: 2005-09-01
修回日期: 2005-09-01
网络出版日期: 2006-01-25
基金资助
国家科技基础条件平台项目(2004DKA20180).
A Review on RS- and GIS-Based Population Estimation Methods
Received date: 2005-09-01
Revised date: 2005-09-01
Online published: 2006-01-25
随着RS和GIS技术的迅速发展， RS和GIS成为进行人口估计的主要手段。根据人口估计的目标和使用的数据源不同，可以把基于RS和GIS的人口估计方法分成两大类：面插值方法和统计模型方法。面插值方法根据插值过程中是否使用辅助数据可以进一步分成无辅助数据的面插值和有辅助数据的面插值两种。统计模型方法根据模型中自变量的不同可以分成建成区面积估计法、土地利用密度法、居住单元估计法、图像像元特征估计法和自然和社会经济特征综合估计法五种。本文按照上述分类标准综述了基于RS和GIS的各种人口估计方法，分析了各种方法的应用条件、优缺点和研究实例。最后提出了在基于RS和GIS进行人口估计方面需要进一步研究的问题。
李 素,庄大方 . 基于RS和GIS的人口估计方法研究综述[J]. 地理科学进展, 2006 , 25(1) : 109 -121 . DOI: 10.11820/dlkxjz.2006.01.012
With rapid development of RS and GIS technologies, RS and GIS have become the main means of population estimation. RS- and GIS-based population estimation methods can be divided into two categories in terms of the application goal and the required data information, i.e. areal interpolation and statistical modeling. Methods depending on whether ancillary information is used, areal interpolation methods can be further grouped into two categories： areal interpolation without ancillary information and areal interpolation with ancillary information. Statistical modeling methods can be further separated into five classes according to the difference of independent variables in the model, i.e. built-up area estimation method, land use density method, dwelling unit estimation method, image pixel characteristic estimation method, and physical and socio-economic characteristic estimation method. Different kinds of population estimation methods based on RS and GIS were reviewed following the aforementioned classification criterion. The application occasion, advantage and disadvantage, and research instance of all sorts of population estimation methods were analyzed. Finally, the issues necessary to be studied further in this field were put forward.
Key words： areal interpolation; GIS; population estimation; RS; statistical modeling
[1] 江 东， 杨小唤 等. 基于RS、GIS的人口空间分布研究. 地球科学进展, 2002,17(5): 734~738.
[2] 吕安民, 李成名, 林宗坚. 面积内插算法初探. 测绘通报, 2002, 1: 44~46.
[3] 杨小唤， 江 东，王乃斌 等. 人口数据空间化处理方法. 地理学报，2002(增刊), 70~75.
[4] 张镱锂， 张 玮， 摆万奇等. 青藏高原统计数据分析—以人口为例. 地理科学进展， 2005,24(1):11~20.
[5] Stewart J Q,Wartnz W. Physics of Population Distribution. Journal of Regional Science, 1958, 1: 99~113.
[6] Clark C. Urban Population Densities. Journal of the Royal Statistical Science, 1951, 114: 490~496.
[7] Newling B E. The spatial variation of urban population densities. Geographical Review, 1969, 59: 242~252.
[8] 冯 健. 杭州市人口密度空间分布及其演化的模型研究. 地理研究, 2002, 21(5): 635~646.
[9] 田永中, 陈述彭, 岳天祥等. 基于土地利用的中国人口密度模拟. 地理学报, 2004, 59(2): 283~292.
[10] 陈彦光. 城 市人口空间分布密度衰减模型的一个理论证明. 信阳师范学院学报(自然科学版), 2000, 13(2): 185~188.
[11] 陈 勇,艾南山. 城市结构的分形研究. 地理学与国土研究, 1994, 10(4): 36~41.
[12] 陈彦光. 城市人口密度的分形模型及其异化形式—对Clark 模型和Sherratt模型的综合与发展. 信阳师范学院学报(自然科学版), 1999, 12(1): 60~64.
[13] 王益谦, 王放. 城市人口分布的多重分形特征刻划. 大自然探索, 1997, 16(4): 72~76.
[14] 潘志强，刘高焕. 面插值的研究进展. 地理科学进展, 2002, 21(2): 146~152.
[15] Fisher P F, Langford M. Modeling the errors in areal interpolation between zonal system by M onto simulation. Environment and Planning, 1995, 27: 211~224.
[16] Lam N S. Spatial Interpolation Methods: A Review. The American Cartographer, 1983, 10(2): 129~149.
[17] Okabe A, Sadahiro S. Variation in count data transferred from a set of irregular zones to a set of regular zones through the point-in-polygon method. International Journal of Geographical Information Science, 1997, 11: 93~106.
[18] 刘湘南, 黄 方 等. GIS空间分析原理与方法. 北京:科学出版社, 2005.
[19] Martin D. Mapping Population Data from Zone Centroid Locations. Transactions of the Institute of British Geographers, 1989, 14(1): 90~97.
[20] Martin D. An Assessment of Surface and Zonal Models of Population. International Journal of Geographical Information System, 1996, 10(8): 973~989.
[21] 吕安民, 刘海启, 李成名. 人口密度的密集内插算法研究. 中国农业资源与区划, 2002, 23(1): 35~40.
[22] 刘建军, 李春来. 基于遥感和GIS的巢湖流域人口信息提取. 科学通报, 2002,47(23): 1835~1837.
[23] Tolber W R. Smooth Pyncophylactic Interpolation for Geographical Regions. Journal of the American Statistical Association, 1979, 74(367): 519~530.
[24] XiaoHang Liu. Estimation of the spatial distribution of urban population using High Spatial Resolution Satellite Imagery . Dissertation of Department of geography, University of California, Santa Barbara, 2003.
[25] Rash W. Volume-Preserving Interpolation of a Smooth Surface from Polygon-Related Data. Journal of Geographical Systems, 2001, 3(2):199~213.
[26] Wright J K. A Method of Mapping Densities of Population. The Geographical Review，1936, 26(1): 103~110.
[27] Flowerdew R, Green M. Statistical Methods for Inference between Incompatible Zonal Systems. in Accuracy of Spatial Databases,Goodchild M. and Gopal S(Eds.),London,UK:Taylor and Francis, 1989, 239~247.
[28] Langford M, Maguire D J and Unwin D J. The Areal Interpolation Problem: Estimating Population Using Remote Sensing in a GIS Framework .in Handling Geographical Information: Methodology and Potential Applications, Masser,I. and M.Blakemore (Eds.), New York, NY: Wiley, 1991, 55~77.
[29] Holt J B, Lo C P and Hodler T W. Dasymetric Estimation of Population Density and Areal Interpolation of Census Data. Cartography and Geographic Information Science, 2004, 31(2): 103~121.
[30] Fisher P F, Langford M. Modeling Sensitivity to Accuracy in Classified Imagery: A study of Areal Interpolation by Dasymetric Mapping. Professional Geographer, 1996, 48(3): 299~309.
[31] Mennis J. Generating Surface Models of Population Using Dasymetric Mapping.Professional Geographer, 2003, 55(1): 31~42.
[32] Eicher C L, Brewer C A. Dasymetric Mapping and Areal Interpolation: Implementation and Evaluation. Cartography and Geographic Information Science, 2001, 28(2): 125~138.
[33] Yuan Y, Smith R M and Limp W F. Remodeling Census Population with Spatial Information from Landsat TM Imagery. Computers, Environment and Urban Systems, 1997, 21(3-4):245~258.
[34] 廖顺宝, 李泽辉. 基于人口分布与土地利用关系的人口数据空间化研究—以西藏自治区为例.自然资源学报, 2003, 18(6): 659~665.
[35] Harvey J T. Small Area Population Estimation Using Satellite Imagery. Statistician Transition, 2000, 4(4): 611~633.
[36] Harvey J T. Population Estimation Models based on Individual TM Pixels. Photogrammetric Engineering and Remote Sensing, 2002, 68(11): 1181~1192.
[37] Dempster A P, Laird N M and Rubin D B. Maximum Likelihood from Incompatible Data via the EM Algorithm. Journal of Royal Statistics Society Series B—Methodological, 1977, 39(1):1~38.
[38] Flowerdew R, Green M. Data Integration: Statistical Methods for Transferring Data between Zonal Systems .in Handling Geographical Information: Methodology and Potential Applications, Masser I. and Blakemore M (Eds.), Harlow, UK: Longman, 38~54.
[39] Nordbeck S. The Law of Allometric Growth. Michigan Inter-University Community of Mathematical Geographers, Discussion Paper, 1965, (7).
[40] Tober W R. Satellite Confirmation of Settlement Size Coefficients. Area, 1969,1(3):30~34.
[41] Lo C P, Welch R. Chinese Urban Population Estimates. Annals of the Association of American Geographers, 1977, 67(2): 246~253.
[42] Prosperie L, Eyton R. The Relationship between Brightness Values from a Nighttime Satellite Image and Texas County Population. Southwestern Geographer, 2000, 4:16~29.
[43] Lo C P. Urban Indicators of China from Radiance-Calibrated Digital DMSP-OLS Nighttime Images. Annals of the Association of American Geographers, 2002, 92(2):224~240.
[44] Weber C. Per-zone Classification of Urban Land Use Cover for Urban Population Estimation. in Environmental Remote Sensing from Regional to Global Scales, in Foody, G.M. and P.J. Curran (Eds.), Chichester, UK: New York, NY: Wiley, 1994, 142~148.
[45] Lo C P. Zone-Based Estimation of Population and Housing Units from Satellite-Generated Land Use/Land Cover Maps. in Remotely Sensed Cities, Mesev, V.(Ed.), London, UK/New York, NY: Taylor& Francis, 2003, 157~180.
[46] Kraus S P, Senger L W and Ryerson J M. Estimating Population from Photographically Determined Residential Land Use Types. Remote Sensing of Environment，1974,3(1):35~42.
[47] Green N E. Aerial Photographic Analysis of Residential Neighborhoods: An Evaluation of Data Accuracy. Social Forces，1956, 35: 142~147.
[48] Porter P W. Population Distribution and Land Use in Liberia. PhDs thesis, London School of Economics and Political Science, London, UK. 1956, P213.
[49] Hsu S Y. Population Estimation. Photogrammetric Engineering, 1971, 37: 449~454.
[50] Collins W J, El-Beik A.H. A Population Census with the Aid of Aerial Photographs: An Experiment in the City of Leeds. Photogrammetric Record, 1971, 7: 16~26.
[51] Dueker K, Horton F.Toward Geographic Urban Change Detection Systems with Remote Sensing Inputs. Technical Papers, 37th Annual Meeting, American Society of Photogrammetry, 1971, 204~218.
[52] Lo C P, Chan H F. Rural Population Estimation from Aerial Photographs. Photogrammetric Engineering and Remote Sensing, 1980, 46: 337~345.
[53] Lo C P. A Raster Approach to Population Estimation Using High-Altitude Aerial and Space Photographs. Remote Sensing of Environment, 1989, 27(1): 59~71.
[54] Hsu S Y. Population Estimation from ERTS Imagery: Methodology and Evaluation.Proceedings of the American Society of Photogrammetry 39th Annual Meeting, 1973, 583~591.
[55] Iisaka J, Hegedus E. Population Estimation from Landsat Imagery. Remote Sensing of Environment, 1982, 12: 259~272.
[56] Lo C P. Automated Population and Dwelling Unit Estimation from High Resolution Satellite Images-A GIS Approach. International Journal of Remote Sensing, 1995, 16(1): 17~34.
[57] Webster C J. Population and Dwelling Unit Estimation from Space. Third World Planning Review, 1996, 18(2): 155~176.
[58] Chen K. An Approach to Linking Remotely Sensed Data and Areal Census Data. International Journal of Remote Sensing, 2002, 23(1): 37~48.
[59] Jerome E D, Edward A B, et al. Landscan: A global population database for estimating populations at risk. Photogrammetric Engineering and Remote Sensing, 2000, 66(7): 849~857.
[60] X Liu, K C. Clarke. Estimation of Residential Population Using High Resolution Satellite Imagery. Proceedings of the 3rd Symposium in Remote Sensing of Urban Areas, Maktav D, Juergens C, and Sunar-Erbek F, June11-13, 2002, Istanbul, Turkey: Istanbul Technical University, 2002, 153~160.
[61] 廖顺宝, 孙九林. 基于GIS的青藏高原人口统计数据空间化. 地理学报, 2003, 58(1): 25~33.
[62] 刘纪远， 岳天祥 等. 中国人口密度数字模拟. 地理学报, 2003, 58(1): 17~24.
[63] 王英安， 岳天祥. 基于格网生成方法的山东省人口分布密度空间分布模拟. 曲阜师范大学学报, 2004, 30(3): 91~93.
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