Provide detailed spatial distribution of population data in China from 1990 to 2015 year by year. The data is 1km grid data, with population pop as the indicator. The grid data comprehensively considers multiple factors for weight distribution to realize the spatialization of population, which is convenient for data sharing and spatial statistical analysis. The data comes from the Resource and Environmental Science and Data Center of the Institute of Geographic Science and Resources, Chinese Academy of Sciences. The annual data is obtained by linear interpolation of the original data, and saved in geotiff file format. The methods and standards of data over the years are consistent, the coverage is complete, and the collection and processing process is traceable and reliable.
WANG Can , WANG Jiachen
Population growth resilience reflects the level of resilience of population growth in the countries along the belt and road, and the higher the value, the stronger the resilience of population growth in the countries along the belt and road. The data on the resilience of population growth is prepared by referring to the World Bank's statistical database, using the year-on-year changes in the population of countries along the Belt and Road from 2000 to 2019, taking into account the year-on-year changes in each indicator, and through comprehensive diagnosis based on sensitivity and adaptability analysis. The resilience of population growth product.
XU Xinliang
Population age structure resilience reflects the level of population age structure resilience in the countries along the Belt and Road. The World Bank's statistical database was used to prepare the data on the resilience of the population age structure of the countries along the Belt and Road. Based on the sensitivity and adaptability analysis, a comprehensive diagnosis was made based on the year-on-year change of each indicator, and the product on the resilience of population age structure was prepared.
XU Xinliang
"One belt, one road" along the lines of risk rating, credit risk rating and Moodie's national sovereignty rating reflects the structure of sovereign risk in every country. The rating of Moodie's national sovereignty is from the highest Aaa to the lowest C level, and there are twenty-one levels. Data source: organized by the author. Data quality is good. The rating level is divided into two parts, including investment level and speculation level. AAA level is the highest, which is the sovereign rating of excellent level. It means the highest credit quality and the lowest credit risk. The interest payment has sufficient guarantee and the principal is safe. The factors that guarantee the repayment of principal and interest are predictable even if they change. The distribution position is stable. C is the lowest rating, indicating that it cannot be used for real investment.
SONG Tao
The population, grain, grain sown area and year-end data sets are extracted from the provincial and prefecture level statistical yearbooks of Qinghai, Tibet, Xinjiang, Gansu, Sichuan and Yunnan for many consecutive years. The missing data are interpolated as follows: 1. To ensure the accuracy of county data, Some counties and cities have been merged in this data (there may be errors in dividing and imputing the data for 20 years according to the proportion, but there will certainly be no problem in the merger, and the county area is small, so it is merged). 2. Xiahe County and cooperative city are merged into Xiahe County (cooperative city was separated from Xiahe County in 1998). 3. Gucheng district and Yulong County are merged into Gucheng district (Lijiang County was divided into Gucheng district and Yulong County in 2003). 4. The inner city district, East City District, West City District The four districts in Chengbei district have been merged into the district directly under the central government of Xining City (because the population of the four districts is given separately or the sum is given, and the total area of the four districts is only 487 square kilometers, they are merged). 5. For some missing data, curve fitting has been carried out in combination with similar years, and R2 is between 0.85-0.99. 6. In order to ensure the accuracy of the data, change maps have been prepared County by county
ZHANG Lu
The data is 1:250000 socio-economic data of Sichuan Tibet line and surrounding areas, including GDP, population and other data. Population and GDP are one of the important indicators of social and economic development, regional planning and resource and environmental protection. Administrative regions are usually taken as the basic statistical unit. The spatialization of population and GDP replaces the traditional administrative statistics unit with spatial statistics unit, which brings great convenience for data sharing and spatial statistical analysis among multiple fields. The data comes from the kilometer grid data set of China's population and GDP spatial distribution of resource and environmental science and data center. The data set of China's population and GDP spatial distribution kilometer grid of resource and environmental science and data center is cut according to the scope of Sichuan Tibet railway and surrounding areas. The data is in grid format and accurate to every square kilometer. It is applicable to the Sichuan Tibet line and surrounding areas. Population and GDP are one of the important indicators of social and economic development, regional planning and resource and environmental protection.
WANG Zhonggen
The temperature humidity index (THI) was proposed by J.E. Oliver in 1973. Its physical meaning is the temperature after humidity correction. It considers the comprehensive impact of temperature and relative humidity on human comfort. It is an important index to measure regional climate comfort. On the basis of referring to the existing classification standards of physiological and climatic evaluation indexes, combined with the natural and geographical characteristics of the Qinghai Tibet Plateau and facing the needs of human settlements suitability evaluation in the Qinghai Tibet Plateau, the temperature and humidity index and its suitability zoning results of the Qinghai Tibet Plateau (more than 3000 meters) are developed (including unsuitable, critical suitable, general suitable, relatively suitable and highly suitable).
LI Peng, LIN Yumei
This data uses a landslide hazard risk assessment model consisting of four modules: landslide hazard causative factors, landslide susceptibility model, exposed population and population casualty rate. The module of hazard-causing factors includes DEM, slope, rainfall, temperature, snow cover, GDP, and vegetation cover factors. The landslide hazard susceptibility model is a statistical analysis using a logistic regression model to obtain landslide susceptibility probability values. The population exposure module uses the landslide susceptibility values overlaid with population data. The population casualty rate module is based on the ratio of historical landslide casualties to the population exposed to landslides during the same period. Finally, by substituting the 2020 population data, the exposed population under different levels of landslide hazard susceptibility is calculated and multiplied with the historical period landslide hazard population casualty rate to assessIntegrated multi-hazard population risk in the peri-Himalayan and Asian water tower regions
WANG Ying
The distribution data of Central Asia desert oil and gas fields are in the form of vector data in ". SHP". Including the distribution of oil and gas fields and major urban settlements in the five Central Asian countries. The data is extracted and cut from modis-mcd12q product. The spatial resolution of the product is 500 m, and the time resolution is 1 year. IGBP global vegetation classification scheme is adopted as the classification standard. The scheme is divided into 17 land cover types, among which the urban data uses the construction and urban land in the scheme. The data can provide data support for the assessment and prevention of sandstorm disasters in Central Asia desert oil and gas fields and green town.
GAO Xin
The data set records the total socio-demographic data of five central Asian countries from 1991 to 2017.Population indicators including annual population, estimated life expectancy, total fertility rate (1000 people), and total mortality (1000 people), infant mortality, maternal mortality, the total marriage rates, the overall divorce rate, migration of all flow balance, the number of medical institutions, hospital beds (m), the number of preschool institutions (a), kindergarten school student number (m) number, number of middle school, high school students (m), the number of the university, the number of students, institutions of higher learning, the number of students of institutions of higher learning.The data are from the statistical yearbooks of five central Asian countries.
HUANG Jinchuan, MA Haitao
It is summarized that the agricultural and socio-economic status of the five Central Asian countries (Kazakhstan, Kyrgyzstan, Tajikistan, Uzbekistan and Turkmenistan) in 2016. This data comes from the statistical yearbook of five Central Asian countries, including six elements: total population, cultivated land area, grain production area, GDP, proportion of agricultural GDP to total GDP, proportion of industrial GDP to total GDP, and forest area. Detailed statistics of the six socio-economic elements of the five Central Asian countries. It can be seen from the statistics that there are different emphases among the six elements of the five Central Asian countries. This data provides basic data for the project, facilitates the subsequent analysis of the ecological and social situation in Central Asia, and provides data support for the project data analysis.
LIU Tie
The resilience of the growth in the number of children along the Belt and Road reflects the level of resilience of the growth in the number of children in the countries along the Belt and Road, with higher values indicating stronger resilience in the growth of the number of children along the Belt and Road. The data on the resilience of the growth in the number of children and adolescents is prepared by referring to the World Bank's statistical database, using the yearly data on the proportion of children (0-14 years old) in the countries along the Belt and Road from 2000 to 2019, taking into account the yearly changes in each indicator, based on sensitivity and adaptability analysis, and through a comprehensive The product is based on a sensitivity and adaptation analysis, and is based on a comprehensive diagnosis of the resilience of the growth in the number of children. The resilience dataset is an important reference for analysing and comparing the resilience of the growth in the number of children in the countries along the "Belt and Road".
XU Xinliang
The resilience of population urbanisation development in countries along the Belt and Road reflects the level of resilience of population urbanisation development in the countries along the Belt and Road, with higher values indicating stronger resilience of population urbanisation development in the countries along the Belt and Road. The data on the resilience of population urbanisation development are prepared with reference to the World Bank's statistical database, using year-on-year data on two indicators, namely the number of urban population and the number of population in urban agglomerations with a population of over one million, from 2000 to 2019, and based on sensitivity and adaptability analysis, taking into account the year-on-year changes of each indicator. Based on the sensitivity and adaptability analysis, the product of the resilience of population urbanisation development was prepared through comprehensive diagnosis. "The data set on the resilience of population urbanisation development in the countries along the Belt and Road is an important reference for analysing and comparing the resilience of population urbanisation development in various countries.
XU Xinliang
The resilience of the population age structure of countries along the Belt and Road reflects the level of resilience of the population age structure of the countries along the Belt and Road, and the higher the value of the data, the stronger the resilience of the population age structure of the countries along the Belt and Road. The World Bank's statistical database was used to prepare the data on the resilience of population age structure, and the data on the proportion of children, the proportion of working-age population and the proportion of elderly population in the countries along the Belt and Road from 2000 to 2019 were used year by year. Based on the sensitivity and adaptability analysis, a comprehensive diagnosis was carried out to produce a resilience product for the age structure of the population. Please refer to the documentation for the methodology of preparing the data set. "The data set is an important reference for analysing and comparing the resilience of population age structures in countries along the Belt and Road.
XU Xinliang
The resilience of population growth in countries along the Belt and Road reflects the level of resilience of population growth in the countries along the Belt and Road, and the higher the value of the data, the stronger the resilience of population growth in the countries along the Belt and Road. The World Bank's statistical database was used to prepare the Resilience to Population Growth data product, which uses year-on-year data on the population of countries along the Belt and Road from 2000 to 2019. The Resilience to Population Growth product is based on sensitivity and adaptation analysis. Please refer to the documentation for the methodology of preparing the dataset. "The resilience dataset is an important reference for analysing and comparing the current resilience of population growth in countries along the Belt and Road.
XU Xinliang
The data set contains respiratory inflammatory indexes collected from four follow-up visits of native Tibetans in Lhasa and Nyingchi, Tibet Autonomous Region. The project carried out four follow-up surveys in Lhasa and Nyingchi from May to June and September to October 2021, and a total of 212 subjects were recruited. Fractional exhaled nitric oxide (FeNO) is produced by airway cells. Its concentration is highly correlated with the number of inflammatory cells. It is a simple and noninvasive biological index, which can effectively reflect the degree of airway inflammation,. At each visit, about 5 liters of exhaled gas were collected with Teflon air bag, and then the content of nitric oxide (FeNO) in exhaled gas was measured with thermo NOx gas analyzer to characterize the inflammatory level of respiratory system. The data can be used to evaluate the level of respiratory inflammation of native Tibetans in Tibet, and further analyze the effects of ozone exposure and hypoxia on respiratory inflammation of natives.
GONG Jicheng
The data set contains the blood routine and blood biochemical indexes collected from native Tibetans in Lhasa and Nyingchi in Tibet Autonomous Region for four follow-up visits. The project carried out four follow-up surveys in Lhasa and Nyingchi from May to June and September to October 2021, and a total of 212 subjects were recruited. Blood is an important circulating element of human body, which stores the information of human health. Biological samples of subjects were collected at each visit. The professional nurses of Lhasa Second People's Hospital and Nyingchi Jianmin hospital collected 18 ~ 20ml blood samples, and some samples were sent to the hospital for blood routine and blood biochemical analysis. The data can be used to evaluate the health level of permanent residents in Tibet and further analyze the impact of ozone exposure and hypoxia on the health of permanent residents.
GONG Jicheng
The data set contains the systemic inflammatory oxidative stress indexes collected from native Tibetans in Lhasa and Nyingchi in Tibet Autonomous Region for four follow-up visits. The project carried out four follow-up surveys in Lhasa and Nyingchi from May to June and September to October 2021, and a total of 212 subjects were recruited. Biological samples of subjects were collected at each visit. The professional nurses of Lhasa Second People's Hospital and Nyingchi Jianmin hospital collected 18 ~ 20ml blood samples, and some samples were sent to the hospital for analysis. The related indexes of leukocytes such as lymphocytes, basophils, neutrophils, eosinophils and monocytes can reflect the level of systemic oxidative stress inflammation. The data can be used to evaluate the level of systemic inflammatory oxidative stress of native Tibetans in Tibet, and further analyze the effects of ozone exposure and hypoxia on systemic inflammatory oxidative stress of permanent residents.
GONG Jicheng
The data set included lung function and cardiovascular function indexes collected during four follow-up visits to the high altitude natives in Lhasa and Nyingchi, Tibet Autonomous Region. Four follow-up surveys were conducted in Lhasa and Nyingchi from May to June and September to October 2021, and a total of 212 subjects were recruited. During each visit, the forced vital capacity (FVC), forced expiratory volume in one second (FEV1), vital capacity (VC) and other pulmonary function indexes of the subjects were measured by Mir pulmonary function instrument. The heart rate (HR), systolic blood pressure (SBP), diastolic blood pressure (DBP), augmentation index (AIx), carotid femoral pulse wave velocity (cf-PWV) and other cardiovascular function indexes were measured by German vicorder cardiovascular detector. The data can be used to evaluate the cardiopulmonary system function of natives in Tibet, and further analyze the effects of ozone exposure and hypoxia on the cardiopulmonary system function of high altitude natives.
GONG Jicheng
The dataset records the statistical data of permanent resident population and natural variation in Qinghai Province in major years from 1952 to 2019, and the data is divided by year. The data of 1990, 2000 and 2010 are the projections of census data of that year, and the data of other years are the projections of sample survey on population change. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 9 data tables, which are: XLS, Permanent Population and Natural Fluctuation in Main Years 1952-2011. XLS, Permanent Population and Natural Fluctuation in Main Years 1952-2012. XLS, Permanent Population and Natural Fluctuation in Main Years 1952-2013 XLS. Permanent Population and Natural Fluctuations in Major Years 1952-2014. XLS, Permanent Population and Natural Fluctuations in Major Years 1952-2016. XLS, Permanent Population and Natural Fluctuations in Major Years 1952-2016. XLS, Permanent Population and Natural Fluctuations in Major Years 1952-2016. XLS, Permanent Population and Natural Fluctuations in Major Years 1952-2016. XLS, Permanent Population and Natural Fluctuations in Major Years 1952-2016. XLS, Permanent Population and Natural fluctuations in Major Years 1952-2016. XLS, Permanent Population and Natural fluctuations in Major Years 1952-2017.xls, Permanent population and natural variation in major years 1952-2018. XLS, data table structure is the same. For example, the 2006 table has 5 fields: Field 1: Year Field 2: Resident population Field 3: Birth Field 4: Death Field 5: Natural growth
Qinghai Provincial Bureau of Statistics
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