USING R FOR SOIL AND ENVIRONMENTAL SCIENCES

Name: USING R FOR SOIL AND ENVIRONMENTAL SCIENCES
Availability: OutOfStock
Rating: 4.9 (50 reviews)

SOILSCI 585

과목 설명

Data science techniques are increasingly important in soil and environmental science, improving the efficiency and repeatability of data analysis and enhancing fundamental understanding of soil and environmental issues. Various R packages will be introduced and used to analyze and process soil and environmental data collected using a variety of in situ, ground-based, and remote sensing platforms. R software will be applied to detailed case studies covering soil and environmental data processing, manipulation, and modeling.

선수과목

(STAT 240 , STAT 301 , STAT 324 , STAT 371 , or F&WECOL/STAT 571 ) and (BSE 301 , CIVENGR/ENVIRST/GEOG 377 , ENVIRST/GEOG/GEOSCI/GLE/LANDARC 371 , or 372), or graduate/professional standing

충족 요건

This course does not satisfy any prerequisites.

학점

미보고

개설 시기

미보고

평점

2.04% 과거 데이터 대비

수료율

100%

과거 데이터 대비 변화 없음

A 비율

100%

2.04% 과거 데이터 대비

학급 규모

44% 과거 데이터 대비

Cumulative Grade Distribution

강사 (2026 Summr)

다음 사이트의 평점순으로 정렬 Rate My Professors

유사 과목

INTRODUCTION TO ENVIRONMENTAL SCIENCE

SOILSCI 250

Discuss how Planet Earth is an interconnected system dominated by the ever-present exchange of materials and energy that control the fitness and fate of all living organisms. Designed to introduce the interdisciplinary field of Environmental Science by providing a broad overview of the basic concepts used to make sense of the environment. Explore how natural systems work, the services they provide, important environmental challenges facing these systems, and how people are working to address them. Includes professionals in the field as guest speakers to discuss a future in Environmental Sciences.

SOIL: ECOSYSTEM AND RESOURCE

ENVIRST/GEOG/SOILSCI 230

Soils are fundamental to ecosystem science. A systems approach is used to investigate how soils look and function. Topics investigated include soil structure, biology, water, fertility, and taxonomy as well as the human impact on the soil environment.

ASSESSMENT OF ENVIRONMENTAL IMPACT

ENVIRST/SOILSCI 575

Overview of methods for collecting and analyzing information about environmental impacts on agricultural and natural resources, including monitoring the physical environment and relating impacts to people and society.

ENVIRONMENTAL DATA SCIENCE

F&WECOL 458

Introduces fundamental machine learning techniques for numerical modeling and data analysis and modern computer programming tools used to analyze, prepare, and visualize data from common formats of datasets in the field of Earth and environmental sciences. Emphasizes opportunities to consider real-world applications for concepts in environmental data science.

SENIOR HONORS THESIS

SOILSCI 682

Continuation of 681.