Third pole 1:100,000 road data set includes: main road (Tibet_main_highways), road (Tibet_Road)and railway (Tibet_railway) vector space data set and its related attribute data :road names(Name), Type(Type) The data comes from the 1:100,000 ADC_WorldMap global data set，The data through topology, warehousing and other data quality inspection，Data through the topology, into the library，It's comprehensive, up-to-date and seamless geodigital data. The world map coordinate system is latitude and longitude, D_WGS_1984 datum surface
ADC WorldMap
Main railway lines of China-Mongolia-Russia Economic Corridor: Manzhouli-Chita; Hohhot-Erlian-Ulaanbaatar; Suifenhe-Vladivostok/Khabarovsk; Erlian-Zamen Uud; Dalian-Harbin; Harbin-Manzhouli; Jining-Erlian; Changchun-Huichun; Zamen Udda-Ulaanbaatar-Sukhbaatar; Zabaikalsk-Chita; Novosibirsk-Ulan-Ude; Ulan-Ude-Chaktu-Darhan-Bayan Gol-Ulaanbaatar-Bayantar-Gobi Sumber-Joy Er-Sinshanda-Zamyn-Uud-Erenhot-Jining-Yanggao-Zhangjiakou-Langfang-Tianjin Port; Inner Mongolia-Erenhot-Zamyn-Uud-Joyel-Ulaanbaatar-Dalkhan-A Letan Bragg-Chaktu-Ulan-Ude; Naushki-Ulan-Ude; Changchun-Hunchun; Sino-Russian oil pipeline: The first and second lines of the Sino-Russian crude oil pipeline (Linyuan-Daqing-Lindian-Nehe-Nenjiang-Dayangshu-Uerqi-Jagedaqi-Mohe-Songling-Jingsong-Xinlin-Tahe-Walagan- 22nd Station-Xing'an Town-Skovorodino (Siberia-Pacific Crude Oil Pipeline System) East Siberia-Pacific Pipeline ((Daqing-Taishe 1, 2) Taishet-Skovorodino-Magdagazi-Khabarovsk-Perevoznaya-Kozimino) Sino-Russian crude oil pipeline (Taishet-Lensk-Olyekminsk-Ardan-Tenda-Skovorodino-Mohe-Qiqihar-Daqing) Sino-Russian Far East pipeline (Tashet-Lensk-Olyekminsk-Ardan-Tenda-Khabarovsk-Vladivostok)
BU Xiaoyan
The 1:1,000,000 road data set of the North Pole includes the Arctic_Major_Routes, the Arctic_Minor_Routes, the Arctic_railway vector space data and the related attribute data: road Name and Type. The data comes from the 1:100,000 ADC_WorldMap global data set，The data through topology, warehousing and other data quality inspection，It's most comprehensive, current and seamless geographic digital data for the whole earth. The world map coordinate system is latitude and longitude, WGS84 datum surface，Arctic specific projection parameters（North_Pole_Stereographic）.
ADC WorldMap
The data set includes the road condition, water system condition and land use situation of Yangon deep water port central city. The road dataset includes both roads and railways, while the water system dataset includes rivers and lakes. The road data set and water system data set are vector data, and the land use data set is grid data with 10m resolution. The classification system of land use is: 10. Forest forest; 20. Cultivated land; 21. Paddy filed paddy field; 22. Dry farmland; 30. Water body; 31. River river river; 32. Lake Lake (including reservoirs and ponds); 33. Wetland; 40. Artificial surface; 43. Mining area; 50. Bareland Bare soil, bare rock, desert and so on, based on the limited sample accuracy analysis of the data, the classification accuracy is about 90%.
GE Yong, LI Qiangzi, LI Yi
The data are the railway density of countries along the "the Belt and Road" in 2010. It is the total length of actual railway operation divided by national area in each country in that year, and it is also an important index to measure a country's transportation capacity. The data come from the world bank and their length unit is kilometers per million square kilometers. These data can directly reflect the transportation capacity of countries along the "the Belt and Road" route, and can also reflect the economic development status and development demand of each country from the side. These data set play an important reference role in the common development of China and countries along the "the Belt and Road". Driven by the railway economy, China is closely linked with other countries today and we can do nothing without railway transport, so the railway data are crucial.
LIU Zhenwei
The road data of 34 key areas along the Belt and Road is first collected from the Internet and then re-processed. Road data can be obtained from the OpenStreetMap open source wiki map. OpenStreetMap is a project designed to create and provide free geographic data (such as street maps) to anyone. First, we download the road data with the country where the key area along the One Belt One Road is located, then clip and extract according to the area, and then calculate the road length in each unit to obtain. Based on OpenStreetMap, it is finally integrated into a road length infrastructure element data product. The road length data can provide important basic data for the development of socio-economic infrastructure and transportation in key area and regions along the Belt and Road.
GE Yong, LING Feng
Tarim River is the largest inland river in China, with a total length of 2179 kilometers. Tarim River Basin is one of the vulnerable areas of ecological environment in China. Due to the lack of coordination in material and energy matching, different regions show different vulnerability characteristics in macro. According to the relevant principles of ecological environment quality evaluation, combined with the ecological environment management of the Tarim River Basin. Data is road distribution data set of Tarim River Basin, scale: 250000, projection: longitude and latitude, mainly including spatial distribution and attribute data of main roads in Heihe River Basin, attribute fields: Code (road code), name (road classification) Collect and sort out the basic, meteorological, topographical and geomorphological data of the Tarim River Basin, and provide data support for the management of the Tarim River Basin.
National Basic Geographic Information Center
Railway distribution map is the basic data in the mapping process. In order to facilitate the use of users, we compiled the railway data set of Heihe River basin according to the railway data set distributed by the National Basic Geographic Information Center, the atlas of Gansu Province compiled by the Gansu Provincial map Geographic Information Center, the sky map and Guge map published by the China Surveying and Mapping Bureau. This data basically reflects the distribution of Railways around the Heihe River basin around 2010. The national standard of data classification and coding of national basic geographic information system - Classification and code of basic land information data (GB / T 13923-92) is adopted for railway coding, and the code is five digit code (National Basic Geographic Information Center 2010).
National Basic Geographic Information Center
The railway data of 34 key areas along the Belt and Road is collected from the Internet and reprocessed. First, we download the linear railway data from the country where the key node areas along the One Belt One Road are located from the OpenStreetMap, and cut and extracted them by region. Meanwhile, it is compared and analyzed with the railway extraction result based on high resolution remote sensing images, and then updated with data from regional statistical bureaus. It is finally integrated into a railway infrastructure element data product. The format of data is linear shapefile data. The spatial coordinate system of the railway data is WGS84, and it contains attribute fields such as name, class and so on. This data can be used to calculate the length of railways and analyze the distribution of railways in cities. The railway data can provide important basic data for the development of socio-economic infrastructure and transportation in key area and regions along the Belt and Road.
GE Yong, LING Feng
The data is the railway distribution map of the north slope of Tianshan River Basin, with a scale of 25000 and the projection is longitude and latitude. the data includes spatial data and attribute data, and the attribute field is code (railway code).
National Basic Geographic Information Center
Based on the Global 1,000,000 Basic Geographic Data (2010) of the Resource and Environment Science Data Center of the Chinese Academy of Sciences, the railway and highway networks of Arctic countries (USA, Canada, Russia, Norway (including Greenland and the Faroe Islands), Denmark, Sweden, Finland, and Iceland) are extracted via ArcGIS. The data are stored separately by nation. The data format is the .shp format of ArcGIS, and the projection mode is GCS_WGS_1984. The railway network data are from http://www.resdc.cn/data.aspx?DATAID=208, and the highway network data are from http://www.resdc.cn/data.aspx?DATAID=207
YANG Linsheng, WANG Li
Tarim River is the largest inland river in China, with a total length of 2179 kilometers. Tarim River Basin is one of the vulnerable areas of ecological environment in China. Due to the lack of coordination in material and energy matching, different regions show different vulnerability characteristics in macro. According to the relevant principles of ecological environment quality evaluation, combined with the ecological environment management of the Tarim River Basin. The data is the railway distribution map of Tarim River Basin, with scale of 250000, including spatial data and attribute data, attribute field: Code (railway code) Collect and sort out the basic, meteorological, topographical and geomorphological data of the Tarim River Basin, and provide data support for the management of the Tarim River Basin.
National Basic Geographic Information Center
Shule River Basin is one of the three inland river basins in Hexi corridor. In recent years, with the obvious change of climate and the aggravation of human activities, the shortage of water resources and the problem of ecological environment in Shule River Basin have become increasingly prominent. It is of great significance to study the runoff change of Shule River Basin in the future climate situation for making rational water resources planning and ecological environment protection. The data is the spatial distribution of railway in Shule River Basin, with scale of 250000 and projection longitude and latitude. The data includes spatial data and attribute data. Attribute field: Code (railway code). Collect and sort out the basic, meteorological, topographical and geomorphic data of Shule River Basin, and provide data support for the management of Shule River Basin.
National Basic Geographic Information Center
The data is the road distribution dataset of the river basins at the north slope of the Tianshan Mountains, with a scale of 250000 and a projection of latitude and longitude, including the spatial distribution and attribute data of the main roads in the river basins at the northern foot of the Tianshan Mountains, with attribute fields of code (road code) and Name (road classification).
National Basic Geographic Information Center
The data is the railway map of Qinghai Lake Basin, with a scale of 250,000, projection: latitude and longitude. The data includes spatial data and attribute data. The attribute field is code (railway code).
National Basic Geographic Information Center
Shule River Basin is one of the three inland river basins in Hexi corridor. In recent years, with the obvious change of climate and the aggravation of human activities, the shortage of water resources and the problem of ecological environment in Shule River Basin have become increasingly prominent. It is of great significance to study the runoff change of Shule River Basin in the future climate situation for making rational water resources planning and ecological environment protection. The data is the road distribution data set of Shule River Basin, scale: 250000, including the spatial distribution and attribute data of main level roads in Shule River Basin, attribute fields: Code (road code), name (road classification) Collect and sort out the basic, meteorological, topographical and geomorphic data of Shule River Basin, and provide data support for the management of Shule River Basin.
The data is the dataset of the road distribution in the qaidam river basin, scale: 250,000, projection: longitude and latitude, mainly including the spatial distribution and attribute data of the main roads in the qaidam river basin, attribute fields: code (road code), Name (road classification).
National Basic Geographic Information Center
Spatial distribution map of roads, railways and pipelines in China Mongolia Russia economic corridor from 1990 to 2020 1) Spatial data of highway, railway and pipeline in 1990; Spatial data of roads, railways and pipelines in China Mongolia Russia economic corridor in 2015; Spatial data of roads, railways and pipelines in China Mongolia Russia economic corridor in 2020; 2) Download the remote sensing images within the China Mongolia Russia economic corridor on NASA website and use arcgis10 2 software manual interpretation and extraction of highway and railway; Map elements are marked with the help of Russian atlas; The pipeline data shall be manually marked with reference to relevant maps; 3) The scale of the atlas is 1:2500000, which clearly reflects the changes of traffic and pipelines in the China Mongolia Russia economic corridor in recent 30 years,; 4) The data shows in detail the changes of traffic and pipelines in the China Mongolia Russia economic corridor in recent 30 years, which provides a data basis for the later study of the impact of traffic and pipeline construction on the change of ecological environment.
BU Xiaoyan
The data set records the statistical data of highway bridges in Qinghai Province in main years. The data are divided by row year, and grouped by aperture and service life. The data are collected from the statistical yearbook of Qinghai Province issued by the Bureau of statistics of Qinghai Province. The data set contains a data table, which is: Main Years: Highway Bridge 1990-2004.xls. In 2004, the super large bridge was re classified according to the national standard. There are six fields in the data table from 1990 to 2004 Field 1: Grand Bridge Field 2: Bridge Field 3: Medium Bridge Field 4: small bridge Field 5: tunnel Field 6: permanent Field 7: Highway Tunnel
Qinghai Provincial Bureau of Statistics
The data set records the density of railway and highway transportation lines in Qinghai Province from 1952 to 2004, and the data is divided by year. The data are collected from the statistical yearbook of Qinghai Province issued by the Bureau of statistics of Qinghai Province. The data set contains seven data tables: Railway and highway transportation line density 1952-1998.xls, railway and highway transportation line density 1952-1999.xls, railway and highway transportation line density 1952-2000.xls, railway and highway transportation line density 1952-2001.xls, railway and highway transportation line density 1952-2002.xls, railway and highway transportation line density 1952-2003.xls The density of railway and highway transportation lines in 1952-2004.xls. The data table structure is the same. For example, there are three fields in the data table from 1952 to 1998 Field 1: year Field 2: Railway Field 3: Highway
Qinghai Provincial Bureau of Statistics
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