数据库中包括自然资源数据和社会经济数据。
The database contains the data of natural resources and social economy.
底线是物理数据,这没什么问题,但是几乎没有国家对分享社会经济数据感兴趣。
The bottom line is, for physical data, it's marginally OK, but there's little national interest in sharing socioeconomic data.
社会经济数据有GDP、农业生产总值、工业生产总值、人均纯收入、文化教育、水土保持项目等。
Social economy data contain GDP, total agricultural output, total industrial output, net income per person, education, soil and water conservation projects, and so on.
论文以空间分析理论和方法为基础,以社会经济数据的尺度转换为主要内容,从理论和应用两个层面展开研究。
Based on the theories and methods of spatial analysis, the scaling of socioeconomic data is studied. The thesis focuses on both the development of theory and practices.
210项统一入户调查的结果已被录入拉美和加勒比地区社会经济数据库。该数据库由国际复兴开发银行和阿根廷拉普拉塔国立大学合作建成。
210 harmonized household surveys are included in the Socio-Economic Database for LAC (SEDLAC), a joint effort by the IBRD and the Universidad Nacional DE la Plata in Argentina.
同样,2010年,拉美和加勒比地区社会经济数据库将重点扩大覆盖面,提供劳动力市场调查数据。 劳动力市场调查的频率往往高于入户调查。
Similarly, in 2010, SEDLAC will focus on expanding coverage to provide harmonized data from labor market surveys, which tend to be carried out more frequently than household surveys.
为了确保公平性所选择的的人群样本全部使用现有的社会经济数据库,受访者打电话有专门经过培训的工作人员询问,并且在受访期间要求填写一份简短的问卷。
Existing socioeconomic databases were used to ensure a fair population sample. Once identified, the interviewees were telephoned and asked to complete a short questionnaire with a trained interviewer.
对决策人(同时也对参考普查数据的公司及其他团体)来说,普查结果反映的社会经济发展趋势的细节信息则更为重要。
More important for policymakers (and in turn for firms and others that rely on census data) are the details of social and economic trends.
其中包含广泛的变量数据以改善有关森林的社会经济和环境效益方面的知识。
They encompass a wide set of variables to improve knowledge on social, economic and environmental benefits of forests.
我们使用来自PSID和ECHP的数据以评估人们选择配偶时在上述指标中所做的权衡,发现了人体测量特征和社会经济学特征可以互相替代的证据。
We estimate the trade-offs among these characteristics using data from the PSID and the ECHP, finding evidence of compensation between anthropometric and socioeconomic characteristics.
GIS是将数据的属性信息与地理信息相结合,以地图为平台,直观、形象的表达对应的自然和社会经济等各种信息。
On one side, GIS integrates the property data information with the geographic data . expresses all kinds of information of the nature, society and economy by map in a valid and sample way.
基于遥感影像和自然社会经济统计数据,较为系统地分析了江西省新建县土地利用变化过程、原因和趋势。
Based on remote sensing image and statistical data in nature, society and economy, the land use change course, reason and trend of Xinjian County in Jiangxi province were analyzed.
依据鄱阳湖地区1949 ~ 2002年耕地面积和社会经济统计数据,运用主成分分析和多元线性回归模型等统计方法分析该地区耕地面积变化的驱动因素。
Based on statistical data of cultivated land and social and economic factors from 1949 to 2002 in Poyang Lake region, this paper discusses the driving forces by multi-variable statistical method.
注:本表数据均来自于各地州、市上报的县(市)社会经济基本情况统计。
Note: the data comes from the statistics of basic social and economic situation in counties (cities) submitted by prefectures and cities.
证明在社会经济系统中,反映研究对象规模大小的统计数据近似服从对数正态分布。
It is shown that the statistical data from survey units, which describe the scale of social and economic system, must be approximately subordinate to logarithm normal distribution.
点内插主要用于自然地理数据的插值,而面内插则主要用于社会经济统计数据的插值问题。
The point interpolation is mainly used to deal with natural geography data and the areal interpolation is usually used to solve the interpolation problem of social economic statistic data.
以组织、处理、管理和发布这些社会经济统计数据为目的的网络经济专题地理信息系统的研究逐渐的成为当前研究的热点。
The research of web economic thematic GIS whose intention is organizing, disposing, managing and publishing these economic data is becoming a promising trend.
本文在分析社会经济统计数据时空特点的基础上,提出了社会经济统计时空数据模型。
On the base of analyzing temporal-spatial characteristics of the social and economic statistical data, the paper puts forward a temporal-spatial data model of social and economic.
在交通量预测中,社会经济指标数据是最基础的预测数据,研究了灰色预测模型在社会经济预测中的应用方法。
In the forecast of traffic volume, the data of, social economic is the most important predicting data. It discusses the application of grey model in the prediction of social economic.
第二个是用城市范围及相关的规划数据进行社会经济分析。
The second part of the module focuses on socioeconomic analysis of data at a city scale and the relevance of this to planning.
方法:资料主要来源于1998—2009年山东省财政数据、医保数据和社会经济统计资料;
Methods: The data sources are from Shandong Statistical Yearbook, Shandong Medical Insurance Annals Reports, and Shandong Financial Annual Reports from 1998 to 2009.
方法:资料主要来源于1998—2009年山东省财政数据、医保数据和社会经济统计资料;
Methods: The data sources are from Shandong Statistical Yearbook, Shandong Medical Insurance Annals Reports, and Shandong Financial Annual Reports from 1998 to 2009.
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