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基于居住空間屬性的人口數(shù)據(jù)空間化方法研究

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  本文關(guān)鍵詞:基于夜間燈光數(shù)據(jù)的中國人口密度模擬,,由筆耕文化傳播整理發(fā)布。


[1] 柏中強(qiáng), 王卷樂, 姜浩, 等. 2015. 基于多源信息的人口分布格網(wǎng)化方法研究[J]. 地球信息科學(xué)學(xué)報(bào), 17(6): 653-660.
doi: 10.3724/SP.J.1047.2015.00653

[1] [Bai Z Q, Wang J L, Jiang H, et al.2015. The gridding approach to redistribute population based on multi-source data[J]. Journal of Geo-Information Science, 17(6): 653-660.]

[2] 柏中強(qiáng), 王卷樂, 楊飛. 2013. 人口數(shù)據(jù)空間化研究綜述[J]. 地理科學(xué)進(jìn)展, 32(11): 1692-1702.
doi: 10.11820/dlkxjz.2013.11.012

[2] [Bai Z Q, Wang J L, Yang F.2013. Research progress in spatialization of population data[J]. Progress in Geography, 32(11): 1692-1702.]

[3] 陳振拓, 李志強(qiáng), 丁文秀, 等. 2012. 面向防震減災(zāi)的人口數(shù)據(jù)空間化研究: 以2007年寧洱地震災(zāi)區(qū)為例[J]. 震災(zāi)防御技術(shù), 7(3): 273-284.

[3] [Chen Z T, Li Z Q, Ding W X, et al.2012. Study of spatial population distribution in earthquake disaster reduction: A case study of 2007 Ning'er earthquake[J]. Technology for Earthquake Disaster Prevention, 7(3): 273-284.]

[4] 杜國明, 張樹文. 2007. 面向防洪救災(zāi)的人口統(tǒng)計(jì)數(shù)據(jù)空間化研究: 以扶余縣為例[J]. 長江流域資源與環(huán)境, 16(2): 265-268.
doi: 10.3969/j.issn.1004-8227.2007.02.027

[4] [Du G M, Zhang S W.2007. Spatial distribution in population statistics in relation to flood prevention and rescue: A case study in Fuyu County[J]. Resources and Environment in the Yangtze Basin, 16(2): 265-268.]

[5] 杜國明, 張樹文, 張有全. 2007. 城市人口密度的尺度效應(yīng)分析: 以沈陽市為例[J]. 中國科學(xué)院研究生院學(xué)報(bào), 24(2): 186-192.
doi: 10.3969/j.issn.1002-1175.2007.02.008

[5] [Du G M, Zhang S W, Zhang Y Q.2007. Analyzing scale effects of population density with Shenyang City as a case[J]. Journal of the Graduate School of the Chinese Academy of Sciences, 24(2): 186-192.]

[6] 符海月, 李滿春, 趙軍, 等. 2006. 人口數(shù)據(jù)格網(wǎng)化模型研究進(jìn)展綜述[J]. 人文地理, 21(3): 115-119, 114.
doi: 10.3969/j.issn.1003-2398.2006.03.025

[6] [Fu H Y, Li M C, Zhao J, et al.2006. Summary of grid transformation models of population data[J]. Human Geography, 21(3): 115-119, 114.]

[7] 谷國梁, 王曉蕾, 李雅靜, 等. 2016. 天津市面向震害快速評估的房屋和人口空間化研究[J]. 地震, 36(2): 149-158.

[7] [Gu G L, Wang X L, Li Y J, et al.2016. Spatialization of population and housing data in Tianjin oriented to rapid earthquake loss assessment[J]. Earthquake, 36(2): 149-158.]

[8] 何蓮娜. 2011. 基于城市布局要素的人口數(shù)據(jù)空間化研究[J]. 測繪科學(xué), 36(1): 38-41.

[8] [He L N.2011. A discussion of population spatial distribution based on urban layout parameter[J]. Science of Surveying and Mapping, 36(1): 38-41.]

[9] 胡長菊. 2015. 國家建設(shè)部規(guī)定高層住宅樓公攤系數(shù)是多少[EB/OL]. 華律網(wǎng), 2015-06-07[2016-09-21]. .

[9] [Hu C J. 2015. Guojia jianshebu guiding gaoceng zhuzhailou gongtan xishu shi duoshao[EB/OL]. Hualv Network, 2015-06-07[2016-09-21]. . ]

[10] 胡煥庸. 1936. 句容縣之人口分布[J]. 地理學(xué)報(bào),(3): 621-627, 14.
doi: 10.11821/xb193603008

[10] [Hu H Y.1936. The distribution of population in Chuyung District[J]. Acta Geographica Sinica,(3): 621-627, 14.]

[11] 胡煥庸. 1983. 論中國人口之分布[M]. 上海: 華東師范大學(xué)出版社.

[11] [Hu H Y. 1983. Lun Zhongguo renkou zhi fenbu[M]. Shanghai, China: East China Normal University Press.]

[12] 江東, 楊小喚, 王乃斌, 等. 2002. 基于RS、GIS的人口空間分布研究[J]. 地球科學(xué)進(jìn)展, 17(5): 734-738.
doi: 10.3321/j.issn:1001-8166.2002.05.016

[12] [Jiang D, YangX H, Wang N B, et al.2002. Study on spatial distribution of population based on remote sensing and GIS[J]. Advance in Earth Sciences, 17(5): 734-738.]

[13] 康停軍, 張新長, 趙元, 等. 2012. 基于多智能體的城市人口分布模型[J]. 地理科學(xué), 32(7): 790-797.

[13] [Kang T J, Zhang X C, Zhao Y, et al.2012. Agent-based urban population distribution model[J]. Scientia Geographica Sinica, 32(7): 790-797.]

[14] 李月嬌, 楊小喚, 王靜. 2014. 基于景觀生態(tài)學(xué)的人口空間數(shù)據(jù)適宜格網(wǎng)尺度研究: 以山東省為例[J]. 地理與地理信息科學(xué), 30(1): 97-100.
doi: 10.7702/dlydlxxkx20140120

[14] [Li Y J, Yang X H, Wang J.2014. Grid size suitability of population spatial distribution in Shandong Province based on landscape ecology[J]. Geography and Geo-Information Science, 30(1): 97-100.]

[15] 廖順寶, 孫九林. 2003. 基于GIS的青藏高原人口統(tǒng)計(jì)數(shù)據(jù)空間化[J]. 地理學(xué)報(bào), 58(1): 25-33.
doi: 10.3321/j.issn:0375-5444.2003.01.004

[15] [Liao S B, Sun J L.2003. GIS based spatialization of population census data in Qinghai-Tibet Plateau[J]. Acta Geographica Sinica, 58(1): 25-33.]

[16] 林麗潔, 林廣發(fā), 顏小霞, 等. 2010. 人口統(tǒng)計(jì)數(shù)據(jù)空間化模型綜述[J]. 亞熱帶資源與環(huán)境學(xué)報(bào), 5(4): 10-16.
doi: 10.3969/j.issn.1673-7105.2010.04.002

[16] [Lin L J, Lin G F, Yan X X, et al.2010. Spatialization models of census data: A review[J]. Journal of Subtropical Resources and Environment, 5(4): 10-16.]

[17] 劉煥金. 2012. 基于多源數(shù)據(jù)的太湖流域人口空間化研究[D]. 南京: 南京農(nóng)業(yè)大學(xué).

[17] [Liu H J. 2012. Research on the population specialization basic on mutil-source data in Lake-Tai Basin[D]. Nanjing, China: Nanjing Agricultural University.]

[18] 王磊, 蔡運(yùn)龍. 2011. 人口密度的空間降尺度分析與模擬: 以貴州貓?zhí)恿饔驗(yàn)槔齕J]. 地理科學(xué)進(jìn)展, 30(5): 635-640.
doi: 10.11820/dlkxjz.2011.05.017

[18] [Wang L, Cai Y L.2011. Spatial down-scaling analysis and simulation of population density in Maotiaohe Basin, Guizhou Province[J]. Progress in Geography, 30(5): 635-640.]

[19] 王立新. 2014. 專家給出銀川住宅樓公攤率參考[N/OL]. 銀川晚報(bào), 2014-08-26[2016-9-21]. .

[19] [Wang L X. 2014. Zhuanjia geichu Yinchuan zhuzhailou gongtanlv cankao[N/OL]. Yinchuan Evening News, 2014-08-26[2016-9-21]. .]

[20] 王培震, 石培基, 魏偉, 等. 2012. 基于空間自相關(guān)特征的人口密度格網(wǎng)尺度效應(yīng)與空間化研究: 以石羊河流域?yàn)槔齕J]. 地球科學(xué)進(jìn)展, 27(12): 1363-1372.
doi: 10.11867/j.issn.1001-8166.2012.12.1363

[20] [Wang P Z, Shi P J, Wei W, et al.2012. Grid scale effect and spatialization of population density based on the characteristic of spatial autocorrelation in Shiyang River Basin[J]. Advances in Earth Science, 27(12): 1363-1372.]

[21] 楊小喚, 江東, 王乃斌, 等. 2002. 人口數(shù)據(jù)空間化的處理方法[J]. 地理學(xué)報(bào), 57(S1): 70-75.

[21] [Yang X H, Jiang D, Wang N B, et al.2002. Method of pixelizing population data[J]. Acta Geographica Sinica, 57(S1): 70-75.]

[22] 楊小喚, 劉業(yè)森, 江東, 等. 2006. 一種改進(jìn)人口數(shù)據(jù)空間化的方法: 農(nóng)村居住地重分類[J]. 地理科學(xué)進(jìn)展, 25(3): 62-69.
doi: 10.3969/j.issn.1007-6301.2006.03.008

[22] [Yang X H, Liu Y S, Jiang D, et al.2006. An enhanced method for spatial distributing census data: Reclassifying of rural residential[J]. Progress in Geography, 25(3): 62-69.]

[23] 葉靖, 楊小喚, 江東. 2010. 鄉(xiāng)鎮(zhèn)級人口統(tǒng)計(jì)數(shù)據(jù)空間化的格網(wǎng)尺度效應(yīng)分析: 以義烏市為例[J]. 地球信息科學(xué)學(xué)報(bào), 12(1): 40-47.

[23] [Ye J, Yang X H, Jiang D.2010. The grid scale effect analysis on town leveled population statistical data spatialization[J]. Journal of Geo-Information Science, 12(1): 40-47.]

[24] 有哈相伴. 2009. 套內(nèi)面積售房對買房的影響[EB/OL]. 新浪博客, 2009-08-28[2016-09-21]. . ]

[24] [Youhaxiangban. 2009. Taonei mianji shoufang dui maifang de yingxiang[EB/OL]. Sina Blog, 2009-08-28[2016-09-21]. .]

[25] 卓莉, 陳晉, 史培軍, 等. 2005. 基于夜間燈光數(shù)據(jù)的中國人口密度模擬[J]. 地理學(xué)報(bào), 60(2): 266-276.
doi: 10.3321/j.issn:0375-5444.2005.02.010

[25] [Zhuo L, Chen J, Shi P J, et al.2005. Modeling population density of China in 1998 based on DMSP/OLS nighttime light image[J]. Acta Geographica Sinica, 60(2): 266-276.]

[26] 卓莉, 黃信銳, 陶海燕, 等. 2014. 基于多智能體模型與建筑物信息的高空間分辨率人口分布模擬[J]. 地理研究, 33(3): 520-531.
doi: 10.11821/dlyj201403011

[26] [Zhou L, Huang X R, Tao H Y, et al.2014. High spatial resolution population distribution simulation based on building information and multi-agent[J]. Geographical Research, 33(3): 520-531.]

[27] Bhaduri B, Brigh E, Coleman P, et al.2007. LandScan USA: A high-resolution geospatial and temporal modeling approach for population distribution and dynamics[J]. GeoJournal, 69(1-2): 103-117.
doi: 10.1007/s10708-007-9105-9

[28] Dmowska A, Stepinski T F.2014. High resolution dasymetric model of U.S demographics with application to spatial distribution of racial diversity[J]. Applied Geography, 53: 417-426.
doi: 10.1016/j.apgeog.2014.07.003

[29] Dong P L, Ramesh S, Nepalia A.2010. Evaluation of small-area population estimation using LiDAR, Landsat TM and parcel data[J]. International Journal of Remote Sensing, 31(21): 5571-5586.

[30] Gallego F J.2010. A population density grid of the European Union[J]. Population and Environment, 31(6): 460-473.
doi: 10.1007/s11111-010-0108-y

[31] Gaughan A E, Stevens F R, Huang Z J, et al.2016. Spatiotemporal patterns of population in mainland China, 1990 to 2010[J]. Scientific Data, 3: doi: 10.1038/sdata.2016.5.
doi: 10.1038/sdata.2016.5 pmid: 26881418

[32] Jia P, Gaughan A E.2016. Dasymetric modeling: A hybrid approach using land cover and tax parcel data for mapping population in Alachua County, Florida[J]. Applied Geography, 66: 100-108.

[33] Lung T, Lübker T, Ngochoch J K, et al.2013. Human population distribution modelling at regional level using very high resolution satellite imagery[J]. Applied Geography, 41: 36-45.
doi: 10.1016/j.apgeog.2013.03.002

[34] Lwin K, Murayama Y.2009. A GIS approach to estimation of building population for micro-spatial analysis[J]. Transactions in GIS, 13(4): 401-414.
doi: 10.1111/j.1467-9671.2009.01171.x

[35] Mennis J.2003. Generating surface models of population using dasymetric mapping[J]. The Professional Geographer, 55(1): 31-42.
doi: 10.1111/0033-0124.10042

[36] Patel N N, Stevens F R, Huang Z J, et al.2016. Improving large area population mapping using geotweet densities[J]. Transactions in GIS, doi: 10.1111/tgis.12214.
doi: 10.1111/tgis.12214

[37] Silván-Cárdenas J L, Wang L, Rogerson P, et al.2010. Assessing fine-spatial-resolution remote sensing for small-area population estimation[J]. International Journal of Remote Sensing, 31(21): 5605-5634.
doi: 10.1080/01431161.2010.496800

[38] Stevens F R, Gaughan A E, Linard C, et al.2015. Disaggregating census data for population mapping using random forests with remotely-sensed and ancillary data[J]. PLoS One, 10(2): doi: 10.1371/journal.pone.0107042.
doi: 10.1371/journal.pone.0107042 pmid: 25689585

[39] Ural S, Hussain E, Shan J.2011. Building population mapping with aerial imagery and GIS data[J]. International Journal of Applied Earth Observation and Geoinformation, 13(6): 841-852.
doi: 10.1016/j.jag.2011.06.004

[40] Zhang Y, Dong C, Liu J P, et al.2015. Gridded population distribution map for the Hebei Province of China[J]. Environmental Engineering and Management Journal, 14(3): 673-680.


  本文關(guān)鍵詞:基于夜間燈光數(shù)據(jù)的中國人口密度模擬,由筆耕文化傳播整理發(fā)布。



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