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Igor Okunev
Пространственный анализ — направление в современной географической науке, соединяющее компьютерное моделирование в геоинформационных системах (ГИС) с математической статистикой. В курсе методы пространственного анализа раскрываются на примере...
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Пространственный анализ — направление в современной географической науке, соединяющее компьютерное моделирование в геоинформационных системах (ГИС) с математической статистикой. В курсе методы пространственного анализа раскрываются на примере исследовательских задач социально-гуманитарных дисциплин. Для этого используются пакеты QGIS и GeoDa, а также язык программирования R. Данное сочетание позволяет вывести политическую и социально-экономическую географию на новый аналитический уровень обобщений. Курс разработан таким образом, что позволяет освоить техники пространственного анализа исследователям без специальных навыков работы с картографическими программами и статистическими методами. Курс разработан в МГИМО МИД России и будет интересен в первую очередь специалистам в области общественной географии, но также и широкому кругу исследователей и аналитиков, интересующихся пространственными закономерностями в социально-гуманитарных дисциплинах, в том числе политологии, международных отношениях, социологии и экономике.
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Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Supports research in sociology, international relations, and economics
Emphasizes analytical skills in political science
Offers practical applications through QGIS, GeoDa, and R
No specific background knowledge is required
Designed specifically for social scientists
Combines GIS and statistics for advanced spatial analysis

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Пространственный анализ в социальных науках with these activities:
Review previous coursework for earlier courses in GIS or statistics
Reviews the basic concepts in earlier coursework, helping you prepare for more advanced topics that are covered later in this course.
Browse courses on R Programming
Show steps
  • Gather materials from previous courses
  • Work through old assignments
  • Practice using the GIS and statistics software
Participate in study groups or online forums to discuss course material
Encourages collaboration and knowledge sharing with peers, allowing you to clarify concepts, ask questions and provide support to each other.
Show steps
  • Join study groups or connect with classmates
  • Prepare questions and discussion points
  • Actively participate in discussions
Follow tutorials on spatial analysis techniques and methods
Provides a deeper dive into the skills you are learning, enhancing your understanding of spatial analysis methods and techniques.
Show steps
  • Identify relevant tutorials
  • Follow the instructions carefully
  • Experiment with the techniques and methods
Three other activities
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Show all six activities
Practice QGIS and GeoDa tutorials
Reinforce your understanding of QGIS and GeoDa by completing tutorials and exercises.
Browse courses on QGIS
Show steps
  • Find online tutorials for QGIS and GeoDa.
  • Follow the tutorials and complete the exercises.
  • Apply the skills you learn to your own research projects.
Develop a research project that applies the spatial analysis techniques learned in this course
Provides a comprehensive and challenging opportunity to apply the skills and knowledge gained in the course to a real-world problem or research question.
Show steps
  • Define the research question or problem
  • Gather and prepare data
  • Apply spatial analysis techniques
  • Analyze results and draw conclusions
  • Communicate findings
Create a spatial data visualization
Develop your analytical and communication skills by creating a visual representation of spatial data.
Show steps
  • Choose a dataset and a research question.
  • Use QGIS or another GIS software to create a map or chart.
  • Interpret the results and draw conclusions.
  • Communicate your findings in a written report or presentation.

Career center

Learners who complete Пространственный анализ в социальных науках will develop knowledge and skills that may be useful to these careers:
Spatial Data Scientist
A Spatial Data Scientist uses big data and spatial analysis techniques to solve problems in business and industry. This course may be useful for Spatial Data Scientists who want to learn more about spatial analysis techniques. The course covers topics such as геоинформационные системы (ГИС), mathematical statistics, and the programming language R. These skills can be used to develop new products and services and improve decision-making.
GIS Analyst
A GIS Analyst uses geographic information systems (GIS) to create and analyze maps. This course may be useful for GIS Analysts who want to learn more about spatial analysis techniques. The course covers topics such as геоинформационные системы (ГИС), mathematical statistics, and the programming language R. These skills can be used to create more accurate and informative maps.
Geographer
A Geographer studies the physical and human geography of the Earth. This course may be useful for Geographers who want to learn more about spatial analysis techniques. The course covers topics such as геоинформационные системы (ГИС), mathematical statistics, and the programming language R. These skills can be used to analyze geographic data and identify patterns.
Remote Sensing Analyst
A Remote Sensing Analyst uses satellite imagery and other data to study the Earth's surface. This course may be useful for Remote Sensing Analysts who want to learn more about spatial analysis techniques. The course covers topics such as геоинформационные системы (ГИС), mathematical statistics, and the programming language R. These skills can be used to analyze remote sensing data and identify patterns.
Urban Planner
An Urban Planner develops plans for the development of cities and towns. This course may be useful for Urban Planners who want to learn more about spatial analysis techniques. The course covers topics such as геоинформационные системы (ГИС), mathematical statistics, and the programming language R. These skills can be used to analyze data about cities and towns and develop plans for their future development.
Transportation Planner
A Transportation Planner develops plans to improve the transportation system. This course may be useful for Transportation Planners who want to learn more about spatial analysis techniques. The course covers topics such as геоинформационные системы (ГИС), mathematical statistics, and the programming language R. These skills can be used to analyze transportation data and identify ways to improve the system.
Demographer
A Demographer studies population trends and patterns. This course may be useful for Demographers who want to learn more about spatial analysis techniques. The course covers topics such as геоинформационные системы (ГИС), mathematical statistics, and the programming language R. These skills can be used to analyze population data and identify trends.
Public Health Analyst
A Public Health Analyst studies the health of the population and develops programs to improve health. This course may be useful for Public Health Analysts who want to learn more about spatial analysis techniques. The course covers topics such as геоинформационные системы (ГИС), mathematical statistics, and the programming language R. These skills can be used to identify health risks and develop public health programs.
Political Scientist
A Political Scientist studies the theory and practice of government and politics. This course may be useful for Political Scientists who want to learn more about spatial analysis techniques. The course covers topics such as геоинформационные системы (ГИС), mathematical statistics, and the programming language R. These skills can be used to analyze political data and identify trends.
Epidemiologist
An Epidemiologist studies the causes and spread of disease. This course may be useful for Epidemiologists who want to learn more about spatial analysis techniques. The course covers topics such as геоинформационные системы (ГИС), mathematical statistics, and the programming language R. These skills can be used to track the spread of disease and identify risk factors.
Market Researcher
A Market Researcher studies the market for a product or service. This course may be useful for Market Researchers who want to learn more about spatial analysis techniques. The course covers topics such as геоинформационные системы (ГИС), mathematical statistics, and the programming language R. These skills can be used to identify target markets and develop marketing strategies.
Economist
An Economist studies the production, distribution, and consumption of goods and services. This course may be useful for Economists who want to learn more about spatial analysis techniques. The course covers topics such as геоинформационные системы (ГИС), mathematical statistics, and the programming language R. These skills can be used to analyze economic data and identify trends.
Survey Researcher
A Survey Researcher designs and conducts surveys to collect data about the population. This course may be useful for Survey Researchers who want to learn more about spatial analysis techniques. The course covers topics such as геоинформационные системы (ГИС), mathematical statistics, and the programming language R. These skills can be used to design more effective surveys and analyze survey data.
Cartographer
A Cartographer creates maps to help people visualize data. This course may be useful for Cartographers who want to learn more about spatial analysis techniques. The course covers topics such as геоинформационные системы (ГИС), mathematical statistics, and the programming language R. These skills can be used to create more accurate and informative maps.
Operations Research Analyst
An Operations Research Analyst uses mathematical and analytical techniques to solve problems in business and industry. This course may be useful for Operations Research Analysts who want to learn more about spatial analysis techniques. The course covers topics such as геоинформационные системы (ГИС), mathematical statistics, and the programming language R. These skills can be used to improve efficiency and productivity.

Reading list

We've selected eight books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Пространственный анализ в социальных науках.
A textbook used by many universities for introductory spatial analysis courses. covers the fundamentals of GIS, spatial data analysis, and spatial statistics.
A textbook that provides a comprehensive overview of spatial analysis techniques, with a focus on the practical application of these techniques using GIS software.
A book that provides a comprehensive overview of using the R programming language for spatial data science. Useful for students who want to learn more about the R programming language or who want to learn how to use R for spatial analysis.
A book that provides a comprehensive overview of using the R programming language for geocomputational tasks.
Provides a practical guide to using GIS for social science research and provides valuable insights into the strengths and limitations of GIS for this type of research.
A textbook that explores the use of GIS in the social sciences, with a particular focus on the use of GIS to address social and environmental issues.
A more advanced textbook covering a broad range of spatial data analysis techniques, suitable for graduate students or researchers. Useful as a reference for some of the more advanced techniques covered in this course.

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