My research is characterized by an interdisciplinary perspective on geographic information science driven by advances of spatial Big Data (e.g., social media and remote sensing), machine learning/artificial intelligence, and computational sciences. I am interested in deep learning of heterogeneous geographic information to support uncertainty-aware geographic knowledge discovery and decision making. I am interested in innovative geospatial applications in different domain fields, particularly in natural hazards, environmental sciences, public health and global changes.
keywords
Machine learning of spatial data, big data, uncertainty of spatial data, geostatistics/spatial statistics, social media, environmental/public health, natural hazards, climate/environment changes
GEOG 3023 - Statistics and Geographic Data
Primary Instructor
-
Fall 2020 / Fall 2021 / Fall 2024
Learn how to use computational and statistical tools to solve problems in the geographic domain and apply introductory statistical concepts to real world problems through lab exercises. Using spatial data you will be trained in powerful specialized descriptive and predictive analysis technique. You will explore how to manipulate and visualize data and make inference using state-of-the art statistics software, applied to various social and Earth Science problems. Same as GEOL 3023.
GEOG 4023 - Advanced Quantitative Methods for Spatial Data
Primary Instructor
-
Spring 2021 / Spring 2023 / Spring 2024
Reviews fundamental statistical and quantitative modeling techniques and introduces more advanced statistical techniques widely used in geography today. Emphasizes geographic examples and spatial problems teaching hands-on skills in statistical programming. Topics covered include generalized linear models, spatial autocorrelation, spatial regression methods, and working with complex datasets. Same as GEOG 5023.
GEOG 4103 - Geographic Information Science: Spatial Analytics
Primary Instructor
-
Spring 2021 / Spring 2023
Explores advanced topics in geospatial databases, spatial analytics and geoprocessing in a Geographic Information System (GIS). Emphasizes how geographic concepts are linked to methodological frameworks for recording, transforming, storing/retrieving, analyzing, and processing geographic data as well as various forms of uncertainty. Exercises demonstrate the application of GIS-based methods to real world scenarios in interdisciplinary settings. Same as GEOG 5103.
GEOG 4403 - Geographic Information Science: Space Time Analytics
Primary Instructor
-
Spring 2022 / Spring 2023 / Spring 2024
Focuses on understanding processes (human, natural, social or physical) through data driven analysis of patterns in spatio-temporal data. Covers a wide range of topics relevant to space time data, including pattern analysis, modeling and visualization as well as time geography and various contemporary issues in space time analytics. Utilizes a hands-on, flipped classroom approach with in-class development of technical skills. Same as GEOG 5403.
GEOG 5023 - Advanced Quantitative Methods for Spatial Data
Primary Instructor
-
Spring 2021 / Spring 2023 / Spring 2024
Reviews fundamental statistical and quantitative modeling techniques and introduces more advanced statistical techniques widely used in geography today. Emphasizes geographic examples and spatial problems teaching hands-on skills in statistical programming. Topics covered include generalized linear models, spatial autocorrelation, spatial regression methods, and working with complex datasets. Same as GEOG 4023.
GEOG 5103 - Geographic Information Science: Spatial Analytics
Primary Instructor
-
Spring 2021 / Spring 2023
Explores advanced topics in geospatial databases, spatial analytics and geoprocessing in a Geographic Information System (GIS). Emphasizes how geographic concepts are linked to methodological frameworks for recording, transforming, storing/retrieving, analyzing, and processing geographic data as well as various forms of uncertainty. Exercises demonstrate the application of GIS-based methods to real world scenarios in interdisciplinary settings. Same as GEOG 4103.
GEOG 5403 - Geographic Information Science: Space Time Analytics
Primary Instructor
-
Spring 2022 / Spring 2023 / Spring 2024
Focuses on understanding processes (human, natural, social or physical) through data driven analysis of patterns in spatio-temporal data. Covers a wide range of topics relevant to space time data, including pattern analysis, modeling and visualization as well as time geography and various contemporary issues in space time analytics. Utilizes a hands-on, flipped classroom approach with in-class development of technical skills. Same as GEOG 4403.
