GSP4350EN - Applied GIS V: Spatial Modeling in Population Studies

Course description

Focuses on the application of spatial simulation models to represent attraction, segregation, individual entities, and processes of spread, addressing contemporary problems in human and population studies. The lecture component covers various topics, including a conceptual framework for human and population spatial modeling; assessment of crowding and crime, drugs and gangs; population growth; religious presence, growth, and decline; culturally-based land and resource use; administration of space, boundaries, and territoriality. The course also includes a lab component to provide students with hands-on experience in applying spatial modeling to real-world human and population studies.

How this course benefits students

Students develop advanced skills in spatial modeling tailored to human and population studies, enabling them to analyze and address complex demographic and social issues. This course builds on previous GIS knowledge, equipping students with the tools to model and simulate population dynamics, making them valuable contributors in fields such as urban planning, public policy, and social research.

Why this course is important

Spatial modeling is essential for understanding and managing population dynamics and social phenomena. This course prepares students to use GIS technology to model and analyze demographic trends, social behaviors, and spatial distributions, supporting informed decision-making and effective policy development. By understanding spatial dynamics in population contexts, students can contribute to solutions for urban challenges, social inequalities, and resource management.

Credit hours
3 hours
Subject area
Geospatial Studies
Educational level
Bachelor
Learning type
Instructional
Prerequisites
None
Upcoming terms
Pending
* Schedule subject to change. Please contact the Registrar's office with schedule questions.
Professor
Dr. Christopher Illori, Professor of Geospatial Mission

How this course relates to missional core values

Biblically based

The course encourages students to approach population studies with a sense of justice and compassion, reflecting biblical principles of equality and care for all individuals. By applying their skills to understand and address social issues, students align with the biblical mandate to promote social justice and support marginalized communities.

Missionally driven

This course equips students with the technical expertise to support mission-driven projects that address population-related challenges. Whether it's modeling crime patterns for safer communities or analyzing religious presence for better community services, students learn to use spatial modeling to contribute to social well-being and community development.

Contextually informed

Students engage with case studies that highlight the importance of context in population modeling. By understanding the specific social, economic, and cultural conditions affecting populations, students learn to create models that are relevant and sensitive to local needs, ensuring their work is impactful and appropriate.

Interculturally focused

The course promotes an appreciation for diverse cultural perspectives in population studies. By incorporating examples from various cultural contexts, students learn to use spatial modeling to address global demographic challenges, fostering intercultural understanding and collaboration.

Practically minded

With a strong emphasis on practical applications, the course provides students with hands-on experience in spatial modeling for population studies. Through lab exercises and real-world projects, students develop practical skills that are immediately applicable in professional contexts, ensuring they are well-prepared for careers in public policy, urban planning, and social research.

Experientially transformed

Through experiential learning, students gain a deep understanding of the role of spatial modeling in population studies. This transformative experience equips them with the expertise needed to make significant contributions to demographic research and social policy, supporting both their professional and personal growth.