Data overview: this set of data mainly includes the spatial distribution of major roads in the heihe river basin, the attributes include road classification and road coding, and the data base year is 2010. Data preparation process: this set of data is based on the topographic map, remote sensing image and the latest road traffic map updated by the transportation department of gansu province in 2009. Data description: there are two important attributes of the data, namely, road classification and road code. The road classification is divided into national road, provincial road, county road, township road and private road. The road code is defined in accordance with the highway grade code of the traffic department.
WU Lizong, NIAN Yanyun
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
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
The data is a dataset of road distribution in Qinghai Lake basin, scale1: 250,000, projection: latitude and longitude, mainly including the spatial distribution and attribute data of main roads in Qinghai Lake basin, attribute fields: code (road code), name (road classification).
National Basic Geographic Information Center
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
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
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
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 set is the basic data of the Qinghai Tibet Plateau in 2015. The original data comes from the National Basic Geographic Information Center, and the data of the Qinghai Tibet plateau region is formed by splicing and clipping the segmented data. The data content includes 1:1 million provincial administrative divisions, 1:1 million roads and 1:250000 water system. The data attributes of administrative divisions include name, code and Pinyin; Road data attributes include: GB, RN, name, rteg and type (basic geographic information classification code, road code, road name, road grade and road type); Water system data attributes include: GB, hydc, name, period (basic geographic information classification code, water system name code, name, season).
YANG Yaping
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
The data is the railway distribution map of the chaidamu river basin, with a scale of 25,000 and coordinates of longitude and latitude. The data includes spatial data and attribute data. The attribute field is 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
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
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 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 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 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
The spatial distribution data set of infrastructures such as traffic and water system in the areas of hambantota and Colombo (2016-2018) is obtained by extracting classification information from high-resolution remote sensing images. Based on the 1-2m remote sensing image data, the distribution information of road, water, coastline, and coastal facilities are extracted respectively. On this basis, the road, and other layers of OSM are superimposed with the extracted results and images. Through visual inspection, errors are found and the extracted results are corrected. Finally, the hambantota node area dataset is formed road, water system, coastline, and coastal facilities distribution layer of the region. This data set contains the data information of two key node regions of hambantota and Colombo.
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