Spring 2027

Applications of Geographic Information Systems in Natural Resources

Applications of Geographic Information Systems in Natural Resources covers modern GIS desktop and web-based workflows, analyses, and visualizations for environmental planning, featuring guest lectures from professionals.

offering recorded3 credits
Recorded instructors · Spring 2027 Edward Boswell

Summary

1 / 3

Recent recorded grades — Spring 2024: 3.86 GPA, 89.7% A/AB (n=29 letter grades); Spring 2025: 3.73 GPA, 87.2% A/AB (n=47 letter grades); Spring 2026: 3.88 GPA, 97.6% A/AB (n=42 letter grades).

What you’ll be able to do

  • Develop and apply appropriate geospatial analysis workflows related to the study and conservation of natural resources.

  • Identify and evaluate sources of primary and secondary geospatial data.

  • Develop methods for collecting primary geospatial data

  • Communicate analytical results in visual and graphical forms.

  • Evaluate literature related to geospatial technologies in environmental science and natural resource issues.

Source: UW Guide 1 UW Guide 2 UW Guide 3

Grade history

↗
average GPA
letter grades
A
AB
B
BC
C
D
F

All recorded terms · compare terms & instructors

Prerequisites

Course map

LAND ARC 311,ENVIR ST/​CIV ENGR/​GEOG 377, or graduate/professional standing

ENVIRST/LANDARC/SOILSCI 695

This is a best-effort interpretation; check the catalog requirements above.

Prerequisite text tree

Professors

Spring 2027

Recent recorded grades — Spring 2024: 3.86 GPA, 89.7% A/AB (n=29 letter grades); Spring 2025: 3.73 GPA, 87.2% A/AB (n=47 letter grades); Spring 2026: 3.88 GPA, 97.6% A/AB (n=42 letter grades). Includes jointly taught sections.

Historical instructors & teaching patterns

EDWARD BOSWELL is recorded teaching in Spring 2022, Spring 2023, Spring 2024, Spring 2025, Spring 2026. Recorded history may be incomplete and does not establish a future schedule.

Recorded history may be incomplete and does not establish a future schedule.

Calendar & sections

Spring 2027

Schedule loads here as you scroll.

SectionModeEnrolled / capacityWaitlist
LEC 001Classroom Instruction0 / 450
LAB 302Classroom Instruction0 / 150
LAB 304Classroom Instruction0 / 150
LAB 301Classroom Instruction0 / 150
LAB 302Classroom Instruction0 / 150
LEC 001Classroom Instruction0 / 450
LAB 304Classroom Instruction0 / 150
LAB 301Classroom Instruction0 / 150
LEC 001Classroom Instruction0 / 450
LAB 302Classroom Instruction0 / 150
LAB 304Classroom Instruction0 / 150
LAB 301Classroom Instruction0 / 150

Times are Central. Select a meeting for details; export includes recorded dates for the selected sections. Enrollment reflects scan time.

Meeting source records
Download part 1

Student experience

the class

Recent recorded grades — Spring 2024: 3.86 GPA, 89.7% A/AB (n=29 letter grades); Spring 2025: 3.73 GPA, 87.2% A/AB (n=47 letter grades); Spring 2026: 3.88 GPA, 97.6% A/AB (n=42 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Modern GIS desktop and web-based workflows
  • Natural resource and environmental planning issues
  • Agency and industry professional perspectives

Skills

  • Developing and applying geospatial analysis workflows for natural resource conservation
  • Identifying and evaluating primary and secondary geospatial data sources
  • Developing methods for collecting primary geospatial data
  • Communicating analytical results in visual and graphical forms

Grades

Latest available · Spring 2026— not enough history to project Spring 2027.

average GPA
A / AB grades
letter grades
Instructor

Grade distribution · % of letter grades

A
AB
B
BC
C
D
F

Grades over time

Through Spring 2026

More grade details Grade mix, volume & source data

Where this course fits relative to

Latest available grades · Spring 2026 · all course levels

GPA

Higher than % of other courses in this group.

Course GPAs · red marks this course’s range

letter grades

More recorded grades than % of other courses in this group.

Typical course in this group: letter grades.

About this comparison

1280 courses over the same term, each with at least 30 recorded letter grades. Cross-listed courses count once. GPA is not a measure of difficulty or teaching quality. The typical course is the median by recorded grade count; tied values are not counted as lower. Grade counts describe course scale, not unique students or typical section size.

Descriptions compare GPA with this group’s average: at least 0.20 higher or lower; otherwise close to average. Section size uses median recorded enrollment: small up to 30, mid-sized 31–99, large 100+. Lectures and discussion/lab sections are described separately.

Sources & history

UW–Madison

Catalog & offerings

Descriptions, prerequisites, and recorded course offerings.

Catalog observation history

Observations at scan time; dates do not imply when a catalog change took effect.

Download part 1
Selected offering source records
ENVIRST/LANDARC/SOILSCI 695 · Spring 2027

Applications of Geographic Information Systems in Natural Resources

Recorded 2026-10-14
ENVIRST/LANDARC/SOILSCI 695 · Spring 2027

Applications of Geographic Information Systems in Natural Resources

Recorded 2026-10-14
ENVIRST/LANDARC/SOILSCI 695 · Spring 2027

Applications of Geographic Information Systems in Natural Resources

Recorded 2026-10-14
Raw records 
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    "offering_id": "1274:360:007378",
    "course_id": "ENVIRST/LANDARC/SOILSCI 695",
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    "source_course_id": "007378",
    "source_subject_id": "360",
    "title": "Applications of Geographic Information Systems in Natural Resources",
    "credits_min": 3,
    "credits_max": 3,
    "typically_offered": "Spring"
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    "offering_id": "1274:908:007378",
    "course_id": "ENVIRST/LANDARC/SOILSCI 695",
    "course_uid": "course_98583836d0ba987c5c140360",
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]
Rate My Professors

Student reviews

Original comments behind the course and instructor summaries.

Read original reviews

No records available.

Madgrades

Grade history

Recorded grade distributions by term, section, and instructor.

Explore recorded grades
Dataset & model

Recorded 2026-10-14

View the dataset on Hugging Face
Model outputs & technical records
Qwen/Qwen3.8-27B
LLM outputs across runs
Download part 1
Full model traces

Recorded model configuration, reasoning, and tool conversations.

Download part 1
Model & dataset provenance 
{
  "model": "Qwen/Qwen3.8-27B",
  "model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
  "task_version": "17",
  "output_id": "e8d0ca255fc249e1531af1393ef2a7b218544903903f89329eefea0f0143ce6a",
  "requirements_status": "valid",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}