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GIS Courses at Cornell

GIS-related courses can be found in several departments across campus. The following courses are currently being offered at Cornell.

Spring 2008

CEE 411 -- see CSS 411

CEE 615 -- Digital Image Processing

Spring. 3 credits. Prerequisite: facility with algebra, trigonometry, and univariate statistics.

Introduction to digital image-processing concepts and techniques, with emphasis on remote-sensing applications. Topics include image acquisition, enhancement procedures, spatial and spectral feature extraction, and classification, with an introduction to hyperspectral data analysis. Assignments require the use of image-processing software and graphics.

          691-386  LEC 01 MW  1220-0110P HO 368    PHILPOT
  SUB-COURSES
  691-619 LAB 01 F 1220-0215P ACCEL GREEN

CRP 408 -- Introduction to Geographic Information Systems (GIS) (also CRP 508)

Spring. 4 credits.

Graphic Information Systems (GIS) have revolutionized the way we manage, analyze, and present spatial information. This course focuses on GIS in the social sciences. Many of the exercises and examples are based on planning issues, but the concepts can be applied to many other disciplines such as government, economics, natural resources, and sociology. Some of the issues covered include: fundamentals of spatial analysis; overview of GIS technology and applications; designing a GIS project; gathering and analyzing data; and creating thematic maps.

          264-565  LEC 01 MW  0230-0320P SR 445    SCHMIDT
  SUB-COURSES
  132-686 LAB 01 R 0730-1030P SD 222 SCHMIDT
  264-783 LAB 02 W 0730-1030P SCHMIDT

CSS 411 -- Resource Inventory Methods (also CEE 411)

Spring. 3 credits. Prerequisite: permission of instructor.

Survey of resource inventory methods applied to field-based studies of environmental systems. Laboratory emphasizes using maps, spatial databases, global positioning systems, and aerospace imagery to discriminate, measure, inventory, and monitor environmental resources.

          133-151  LEC 01 MW  0905-0955A BF 110    STITELER, W.
  SUB-COURSES
  133-237 LAB 01 M 0125-0425P BF 108 STITELER, W.
  133-242 LAB 02 R 0125-0425P BF 108 STITELER, W.

CSS 465 -- Global Positioning System

Spring, last five Fri. of semester. 1 credit. Prerequisite: CSS 411 or 420, or equivalent, or permission of instructor. W. Stiteler.

Introduction to navigation-grade GPS instruments used in agricultural and environmental science. Topics include instrument familiarization; field-data collection and processing; real-time and post-differential correction; and GPS-GIS integration.

          133-339  LEC 01 F    0125-0425P BF 108    STITELER, W.

CSS 620 -- Spatial Modeling and Analysis

Spring. 3 credits. Prerequisites: CSS 420, 461, or permission of instructor.

Theory and practice in the development, integration, and visualization of spatial data for resource inventory, environmental process modeling, land classification, and evaluation. Emphasizes application and evaluation of advanced spatial analytical methods applied to environmental systems and databases of interest to the student.

          138-000  LEC 01 TR  0905-0955A BF 101    NEAFSEY, EJ
  SUB-COURSES
  138-023 LAB 01 T 0125-0425P BF 108 NEAFSEY, EJ
  138-273 LAB 02 W 0125-0425P BF 108 NEAFSEY, EJ

CSS 621 -- Applications of Space-Time Statistics

Spring. 2 credits. Prerequisite: STBTRY 601 or equivalent. S-U grades only. Offered alternate years; offered after spring break 2008.

Introduction to space-time statistics with applications in agriculture and environmental management. Topics include geostatistics, temporal statistics, sampling, experimental design, state-space analysis, data mining, and fuzzy logic. Focuses on landscape-scale processes and a user's perspective.

          088-180  LEC 01 WF  0230-0425P BF 105    VAN ES, H.

D SOC 314 -- Spatial Thinking, GIS, and Related Methods

Spring. 4 credits.

Everything occurs in space. Knowing where organizations are located and events occur in space provides clues to understanding social order and processes not revealed by traditional social analysis techniques. At the same time, spatial thinking and methods are becoming increasingly used in the social sciences. The purpose of this course is to introduce the undergraduate to both aspects of spatial patterns, trends, and themes but also to methodologies for bringing spatial considerations into their research. The course will provide a practical introduction to GIS via lab assignments.

          PREREQUISITE: PRIOR COURSE IN RESEARCH METHODS AND STATISTICS.
  142-682 LEC 01 MWF 1115-1205P WN 361 FRANCIS, J.
  SUB-COURSES
  142-956 LAB 01 W 1220-0215P WN 160 FRANCIS, J.

LA 494 -- GIS for Landscape Architecture

Spring. 3 credits.

This course will explore central New York’s cultural and natural history within a Geographic Information System (GIS) framework. Students will learn to compile, format, and analyze spatial data, which will be incorporated into a comprehensive spatial database for on-going research in the Department of Landscape Architecture.

          132-140  SEC 01 W    0730-1030P KN 117    HAMMER, A./GANSER, A

NTRES 670 -- Spatial Statistics

Spring. 3 credits. Prerequisites: BTRY 601 and 602. Highly recommended: introductory GIS course. S-U or letter grades. Offered alternate years.

Develops and applies spatial statistical concepts and techniques to ecological and natural resource issues. Topics include visualizing spatial data and analysis and modeling of geostatistical, lattice, and spatial point processes. Students should consider taking this course simultaneously with CSS 620.

        PREREQUISITES: BTRY 601 & 602; AN INTRO GIS COURSE STRONGLY RECOMMENDED
  201-665 LEC 01 MWF 1010-1100A FW 212 SULLIVAN, P.J.


Summer 2008

CRP 5080 -- Introduction to Geographic Information Systems (GIS)

Summer (May 28 - June 30, 2008). 4 credits.

Geographic Information Systems (GIS) have revolutionized the way we manage, analyze, and present spatial information. This course focuses on GIS in the social sciences. Many of the exercises and examples are based on planning issues, but the concepts can be applied to many other disciplines such as government, economics, natural resources, and sociology. Some of the issues covered include: fundamentals of spatial analysis; overview of GIS technology and applications; designing a GIS project; gathering and analyzing data; and creating thematic maps.

This is a Distance Learning class being taught by Michelle Thompson. For more information, see the Summer Session description for CRP 5080.

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