University of Houston 3 credits MATH
Prerequisite: Graduate standing. MATH 6357 , MATH 6358 , and MATH 6359 , or equivalent, or consent of instructor. This is a graduate level course (multidisciplinary, for Master’s as well as PhD students) that gives a general overview of the field of spatial and spatio-temporal statistics. Students will learn concepts and statistical methods for real data with spatial and temporal dependence. Students will learn to analyze spatial and spatio-temporal data, using R or Python. Various real data application examples will be given during lectures.
Our subject experts help with essays, research papers, case studies, discussion posts, and capstone projects for these programs — written from scratch to your course requirements.
Program and course information is reproduced from each university's published academic catalog for informational purposes and may change. Always confirm current requirements with your university. We are an independent academic support service and are not affiliated with or endorsed by the universities listed.
Expert guides on essay writing, citation styles, study skills, and academic success.
View All Articles
Learn how to write a good research question for a paper. Narrow your topic, identify a research problem, and create a focused question with practical examples.
Learn how to choose a research topic you can actually research. Discover how to narrow broad ideas, find reliable sources, and develop a focused research question.
Learn how to cite sources in a research paper using APA, MLA, and Chicago styles, with in-text citation examples and reference-list tips.