According to Professor Chen Yunsong (2017) of Nanjing University, "time and space are important dimensions to define social situations".
Professor Lin Hui (2006) of the Chinese University of Hong Kong pointed out that "time and space are the basic dimensions to define the development of human society and human civilization".
Professor Qin Kun of Wuhan University (2016) believes that "the problem of time and space is the core of social theory".
China's quantitative social science research has always paid more attention to the time dimension, but has not paid enough attention to the space dimension. As Professor Sun Xiulin (2015) of Shanghai University said, "in the domestic social science research, the spatial quantitative analysis has always been missing.". However, the importance of spatial quantification is self-evident. Professor Chen Yunsong (2017) pointed out that spatial correlation generally exists in social science research topics, and spatial correlation has always been an important missing variable, which can directly cause biased estimation of regression model, leading to "unreliable biased conclusion". In the view of Professor Chen Yunsong, spatial analysis has been lacking in social science research in China, which is mainly due to the limitations of data and analysis technology.
With the advent of social computing, big data and cloud computing, social science research has ushered in an important opportunity of "spatial turn", and spatial big data analysis is becoming an important component of computing social science. A large number of studies have proved that, based on multi-source spatial big data, the use of GIS, spatial measurement and other methods can help to clarify the space-time situation of social phenomena, find the space-time distribution and evolution law of social phenomena, and solve the complex self adaptability of social systems.
In order to further improve the methods and skills of qualitative researchers, Mr. He Li, lecturer of Xi'an Jiaotong University, was specially invited to hold a series of live broadcast of "spatial measurement and GIS software operation in social science research".
This live broadcast focuses on the following aspects: spatial transformation of social science research, point spatial data analysis, regional spatial data analysis, regional spatial data modeling, GIS and spatial measurement.
I hope to discuss and operate with you systematically.
Course introduction
Based on the "spatial dimension" of social science research, this course focuses on spatial big data, geographic information system (GIS), map visualization, spatial analysis and spatial statistics through case introduction, method description, software display, data analysis and operation demonstration, so as to improve the understanding of the theory and method of GIS and spatial measurement for the majority of social science researchers Before the development of this field, I was familiar with the processing method, analysis process and result interpretation of social science spatial data based on GIS and spatial measurement, several commonly used commercial and open-source GIS spatial analysis software, and the technical methods of spatial data map visualization, exploratory spatial analysis and spatial modeling using GIS software.
Live course arrangement
19-21 May 9
The first lecture: the spatial turn of social science research 1.1 computational social science and GIS spatial measurement
1.2 data characteristics of GIS and spatial measurement
1.3 introduction to map, POI, night light remote sensing and other data
1.4 common software for GIS and spatial measurement
/ / / / / /
19-21 May 10
Lecture 2: point spatial data analysis
2.1 exploratory point spatial data analysis
2.2 measurement of point spatial pattern (aggregation, dispersion)
2.3 spatial interpolation and field modeling of point data
/ / / / / /
19-21 May 11
Lecture 3: analysis of regional spatial data
3.1 map visualization of regional spatial data
3.2 spatial weight matrix
3.3 measurement of hot / cold spots in space
/ / / / / /
19-21 May 12
Lecture 4: regional spatial data modeling
4.1 spatial lag model SLM
4.2 spatial error model SWM
4.3 geographically weighted regression GWR
/ / / / / /
19-21 May 13
Lecture five: some problems of "colored eggs" in GIS and spatial measurement
5.1 residual analysis of spatial regression
5.2 social survey based on GIS, GPS and RS
Trainer Introduction
He Li, Ph.D. in geography, McMaster University, Canada, lecturer of Sociology Department of Xi'an Jiaotong University, key member of "Research Center for social big data analysis technology and application" of National Engineering Laboratory of big data algorithm and analysis technology, researcher of empirical social science research institute, researcher of Xi'an Jiaotong University Free Trade Institute. He is also the Secretary General of the youth working committee of the Asian geographical society, the director general of the National Fellowship of the introduction project of the postdoctoral international exchange program, and the reviewer of more than ten internationally famous SCI and SSCI journals.
In 2017, he was selected into the "Introduction Project" of China Postdoctoral international exchange program, presided over five topics including the Ministry of education's humanities and social sciences fund and China Postdoctoral Science Fund, and participated in 12 major national social sciences and national self science projects.
Applied geography, geographic analysis, computer environment and urban systems and other international famous journals published 13 SSCI and SCI papers, one national invention patent was authorized, and won the second prize of excellent achievements in Humanities and Social Sciences Research of Shaanxi University in 2019.
Research interests include: computational social science, spatial measurement and spatial analysis, urban spatial big data, mobile signaling big data, medical and health big data, crime spatial analysis, GIS, urban public security management supported by big data, urban spatial behavior analysis, etc.
Course objectives
Through the method introduction, case display, software operation and data demonstration of this course, students can master the basic contents of spatial big data, geographic information system, map visualization, spatial analysis and spatial statistics, be familiar with the operation methods of GIS and spatial analysis software, and independently carry out map visualization and exploratory space by using GIS software for interested research problems Analysis, spatial regression modeling.
intended for
Quantitative analysis researchers (students, teachers) in various fields of social sciences such as sociology, political science, anthropology, etc.; social science researchers (students, teachers) interested in using interdisciplinary research methods; researchers (students, teachers) interested in spatial data such as maps, POI, night light remote sensing, mobile phone signaling big data, etc.
Live information
Live broadcast time: 19:00-21:00 every night from May 9, 2020 to May 13, 2020
Live broadcast mode: live broadcast on the platform of xiaoertong (permanent playback of the course)
Subscription information live broadcast deadline: 19:00, May 9
Live subscription price:? 499 / person
Subscription method
Subscription method 1
Course QR code scanning registration
Subscription mode 2
Corporate transfer (when transferring funds, please consult to confirm whether there is any quota, and indicate the name and contact information in the abstract):
Company name: Beijing sigolor Education Technology Co., Ltd
Bank of deposit: Beijing Shuangyushu branch of China Merchants Bank Co., Ltd
Bank card No.: 110918346010101
Contact person for consultation innovation No.7 wechat: xueshu70000
Reply at 9:00-18:00 on the working day of code scanning consultation
matters needing attention
1. After the payment is successful, please click Finish to enter wechat communication group. Please note: your mobile number. The course can be found in WeChat's official account, Academic Journal - academic course, my - my purchase. 2. This is the live broadcast of gostone platform, and the specific live broadcast method will be notified in advance within the group. 3. This course is a live online course. The video copyright belongs to the lecturer and academic journal platform. After class, permanent online video is provided for students to review. It is only for personal study and cannot be transmitted outside. No refund after registration, please understand! 4. This course provides e-invoice. After 7 working days of subscribing to the course, you can click my invoice center to issue invoice in academic journal app, submit the invoice information and verify the modification, submit the invoice, and check and download it in the email. If you have any questions about the invoice reimbursement, please contact Mr. Wu, finance at 13552535030.
View more excellent courses and pay attention to academic records
Turn on "looking"?