Study Program [en:field:field_op:course:label]
SocEng [en:field:field_op:#allowed_values:Sociology]
Year of Study Plan [en:field:field_year_plan:course:label]
2021
Lector [en:field:field_lector:course:label]
Semester [en:field:field_semester:course:label]
3 [en:field:field_semester:#allowed_values:3]
Working Program in Ukrainian [en:field:field_abstract:course:label]
Working Program in English [en:field:field_programengl:course:label]
Додаткові матеріали [en:field:field_material_text:course:label]
code [en:field:field_corse_code:course:label]
EC1.07
degree_level [en:field:field_degree_level:course:label]
master [en:field:field_degree_level:#allowed_values:магістр]
Program of Study [en:field:field_program_of_study:course:label]
Sociology (language of instruction - English) [en:field:field_program_of_study:#allowed_values:Соціологія (мова навчання англійська) / Sociology]
Course developed in [en:field:field_course_developed_in:course:label]
2021
ECTS credits [en:field:field_ects_credits:course:label]
5.00
Course type [en:field:field_course_type:course:label]
elective [en:field:field_course_type:#allowed_values:elective]
Final control [en:field:field_final_control:course:label]
Exam [en:field:field_final_control:#allowed_values:Exam]
Course summary [en:field:field_course_summary:course:label]
All social life unfolds in a geographical space, which can act as a factor, facilitator, or barrier to the development of social processes and the emergence of social phenomena. The course "Analysis of spatial data in R" is aimed at acquiring a set of skills that allow for a full cycle of research work with geospatial data - from their extraction to statistical inference. Students will learn how to use OpenStreetMap and GoogleMaps to create and retrieve geospatial data, display statistics on maps and heat maps, and measure relationships between variables adjusted for geographic effects.
Language of instruction [en:field:field_language_of_instruction:course:label]
English
