Based on the previous research results, this paper collected the palynological sequence of the plateau strata from the published literature at home and abroad, and selected reliable records, in order to explore the information of human activities in this area. The selection principles are as follows: (1) the palynological sequence time should cover the middle and late Holocene (since 6.0kabp.)（ 2) The time series are expressed quantitatively in calendar year or 14C year time system（ 3) It has high resolution（ 4) According to the above principles, 28 fossil sporopollen sequences are selected in this area. Age correction: some of the 28 sequences are calendar years, and some are carbon 14 dating, so they are corrected to calendar years. Data acquisition: the sequence is quantified, and the sporopollen content and corresponding age of the sequence are read to ensure the validity of the data, The inflection point data is selected first, and the average sporopollen content data of less than 100 years is selected. A total of 568 sporopollen records are obtained from 28 sequences, Abstract and calculate the parasporal pollen records since the middle and late Holocene (6.0 ~ 2.0 Ka B.P.) in the merging cost area. Based on the original parasporal pollen records extracted from 28 stratigraphic fossil sporopollen sequences, the deviation method is used to standardize the sequence, so as to eliminate the dimensional differences between different sporopollen types and compare them, The original data after standardization is converted into standardized values, and then the average value of each record in each partition is calculated, so that it can be combined with the sporopollen records in the cost area, which is called companion index in this paper. It means that the higher the index is, the stronger the intensity of human activity is, and the lower the index is, the weaker it is
HOU Guangliang
The data used in this paper are: the range and boundary data of the Qinghai Tibet Plateau [12]; 90 m in the international scientific data mirror website of computer network information center of Chinese Academy of Sciences (http: / / www.gscloud. CN) × DEM data products with 90 m spatial resolution; The site data is mainly based on the results of the second national cultural relic survey, combined with the cultural relic Atlas of relevant provinces. In the process of data processing, firstly, the specific location of the site is determined, and the site with unknown longitude and latitude is interpreted with google satellite map; Secondly, according to the identification standard of China's cultural relics census, the sites are classified and dated (excluding the points with unknown age), and a small number of cross age sites are calculated repeatedly. Finally, according to the characteristics of archaeology, history and chronology system, the sites in the study area are counted according to the comprehensive division method of cultural type and history. The application of GIS and RS in the research of settlement and regional archaeology is becoming more and more mature. The shortest path in GIS is used to simulate the prehistoric traffic route of the Qinghai Tibet Plateau, and the kernel density estimation method is used to calculate the data aggregation of the whole region according to the input feature data set, so as to produce a continuous density surface. The results show that the distribution probability of the research object can be directly expressed, and the size of the kernel density represents the agglomeration degree of the site in the spatial distribution. The larger the kernel density estimation is, the denser the distribution density of the site is. The distance between the centroid of each element and its nearest element is measured by the average nearest neighbor index, and the average value of all the nearest distances is calculated, and compared with the average distance in the hypothetical random distribution, so as to judge whether the studied elements are clustered distribution. The description of the spatial distribution characteristics of attributes in the whole region is used to judge whether a certain element or phenomenon in the study area has aggregation characteristics in space. In this paper, the global Moran's I index is used to measure the global spatial autocorrelation degree of the sites in the Qinghai Tibet Plateau.
HOU Guangliang
This data is the grain size data set of the XS loess section at Ganzi in the east of Qinghai Tibet Plateau. The whole section is 10 meters thick, and the grain size analysis is carried out according to the interval of 2.5cm. A total of 398 groups of grain size data are obtained. The grain size analysis was carried out at the Key Laboratory of Western China's Environmental Systems（Ministry of Education), Lanzhou University. Before the measurement, the organic matter and carbonate in the sample were removed by H2O2 and hydrochloric acid, then adding the sodium hexago-hydrophosphate and vibrating for about 10 min to disperse samples by using ultrasonic apparatus. All measurements are conducted by using the Mastersizer 2000. This data reflects variations of the loess grain size since the last interglacial, which is of great importance for understanding past evionroment changes in the eastern Tibet Plateau.
YANG Shengli
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