空间尺度转换数据精度评价的准则和方法
A Review on the Accuracy Analysis of Spatial Scaling Data
查看参考文献62篇
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文摘
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空间尺度问题是地理学、生态学和水文学等多个学科的基础科学问题之一。空间数据尺度转换是将数据从一个空间尺度转换到另一个空间尺度的过程,它是尺度科学研究的重要内容之一。对尺度转换后的成果数据深入分析,提炼尺度转换成果数据精度评价的原则、指标以及模型方法,这对正确选择和应用尺度转换成果数据具有重要意义。在详细评述尺度和尺度转换研究概念、内容和主要进展的基础上,本文主要从数据处理、地图学角度出发,提出了空间数据尺度转换精度评价的3项基本准则,即保持构成信息守恒、保持面积信息守恒、保持区域空间格局和形态信息守恒。继而据此将当前常见的指标进行了梳理和归并;根据上述准则和指标,结合GIS方法、常规统计方法、地统计方法等,给出了上述评价指标的计算模型及其应用方法和典型案例。最后指出,在实际应用中需结合研究目标,针对性选择尺度转换效应函数,通过开展模型模拟和对比分析,最终确定合适的尺度转换方法。 |
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其他语种文摘
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Scale is like a lens through which geographers observe and study the world. Scale dependence is one of the key studies and a challenge in geography, ecology, hydrology and meteorology in recent decades. One of the core scale issues is spatial scaling. Different scaling methods produce different resulting data with different degree of information loss. Thus, quantitative and qualitative assessment of scaling accuracy for spatial data is critical for correctly understanding and using scales. In the scaling research the basic theoretical frameworks include level theory, fractal theory, regional variable theory and first law of geography. In eco-geographical fields, scaling methods mainly are: spatial allometry, the dynamic model-based scaling method, wavelet analysis, autocorrelation analysis, fractal methods, semi-variogram method, and so forth. For the last ten years, remote sensing, GIS, and large-scale computer simulation technology have become more and more important in scaling research. As an important part of scaling process, accuracy analysis qualitatively or quantitatively evaluates the resulting data, based on the rules such as spatial composition, area precision, spatial pattern, patch characteristics, etc. Certain evaluation models and methods also involve type area statistics, landscape metrics, geostatistics, wavelets analysis, etc., with several indexes. In addition, comparing the simulation results of scaling data is also an important method in accuracy analysis. Although there are several methods of scaling accuracy analysis, few researchers have tried to develop a systematic methodology to evaluate resulting data. Therefore, it is an inevitable trend in scaling research to improve or even develop a new methodology for scaling accuracy analysis. |
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来源
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地理科学进展
,2012,31(12):1574-1582 【核心库】
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关键词
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尺度
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尺度转换
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精度评价
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准则
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数学模型
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地址
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中国科学院地理科学与资源研究所, 北京, 100101
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语种
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中文 |
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ISSN
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1007-6301 |
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学科
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测绘学 |
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基金
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国家973计划
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国家自然科学基金
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国家科技支撑计划项目
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文献收藏号
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CSCD:4736614
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参考文献 共
62
共4页
|
|
1.
Robinson W S. Ecological correlations and the behavior of individuals.
American Sociological Review,1950,15(3):351-357
|
CSCD被引
14
次
|
|
|
|
|
2.
Lam N S N. On the issues of scale, resolution, and fractal analysis in the mapping sciences.
The Professional Geographer,1992,44(1):88-98
|
CSCD被引
36
次
|
|
|
|
|
3.
Bloschl G. Scale issues in hydrological modelling: A review.
Hydrological Processes,1995,9(3/4):251-290
|
CSCD被引
77
次
|
|
|
|
|
4.
Goodchild M F. Scale in GIS: An overview.
Geomorphology,2011,130(1/2):5-9
|
CSCD被引
22
次
|
|
|
|
|
5.
邬建国.
景观生态学:格局、过程、尺度与等级,2007
|
CSCD被引
101
次
|
|
|
|
|
6.
Moody A. The influence of scale and the spatial characteristics of landscapes on land-cover mapping using remote sensing.
Landscape Ecology,1995,10(6):363-379
|
CSCD被引
14
次
|
|
|
|
|
7.
Turner M G. Effects of changing spatial scale on the analysis of landscape pattern.
Landscape Ecology,1989,3(3/4):153-162
|
CSCD被引
63
次
|
|
|
|
|
8.
Zhu C Q. Reducing remote sensing image and simplifying DEM data by the multi-band wavelet.
International Journal of Remote Sensing,2002,23(3):525-536
|
CSCD被引
5
次
|
|
|
|
|
9.
岳天祥. 第四代地理信息系统研究中的尺度转换数字模型.
中国图象图形学报:A辑,2001,6(9):907-911
|
CSCD被引
3
次
|
|
|
|
|
10.
刘学军. 利用点扩散函数进行DEM尺度转换.
武汉大学学报:信息科学版,2009,34(12):1458-1462
|
CSCD被引
14
次
|
|
|
|
|
11.
于浩. 基于小波多尺度分析的DEM数据综合研究.
测绘科学,2008,33(3):93-96
|
CSCD被引
12
次
|
|
|
|
|
12.
杨勤科. 基于滤波方法的DEM尺度变换方法研究.
水土保持通报,2008,28(6):58-62
|
CSCD被引
13
次
|
|
|
|
|
13.
Wolock D M. Differences in topographic characteristics computed from 100- and 1000-m resolution digital elevation model data.
Hydrological Processes,2000,14(6):987-1002
|
CSCD被引
21
次
|
|
|
|
|
14.
Le Coz M. Assessment of digital elevation model (DEM) aggregation methods for hydrological modeling: Lake Chad basin, Africa.
Computers & Geosciences,2009,35(8):1661-1670
|
CSCD被引
8
次
|
|
|
|
|
15.
刘纪远. 土地利用变化对全球气候影响的研究进展与方法初探.
地球科学进展,2011,26(10):1015-1022
|
CSCD被引
60
次
|
|
|
|
|
16.
Meyer W B. Human population growth and global land-use/cover change.
Annual Review of Ecology and Systematics,1992,23:39-61
|
CSCD被引
43
次
|
|
|
|
|
17.
Kasperson J X.
Regions at Risk: Comparisons of Threatened Environments,1995
|
CSCD被引
2
次
|
|
|
|
|
18.
Kates R W. Labnotes from the Jeremiah Experiment: A hope for a sustainable transition.
Annals of the Association of American Geographers,1995,85(4):623-640
|
CSCD被引
1
次
|
|
|
|
|
19.
Pearson R G. Predicting the impacts of climate change on the distribution of species: Are bioclimate envelope models useful?.
Global Ecology & Bioge-ography,2003,12(5):361-371
|
CSCD被引
109
次
|
|
|
|
|
20.
McCarthy H H.
The Measurement of Association in Industrial Geography,1956
|
CSCD被引
3
次
|
|
|
|
|
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