Teaching - 资源与环境学院

2015-11-06T09:05:55+08:00

Name:	Landscape Ecology: Principles and Applications
No.:	811003Y
Hour:	40	Credit:	2
Instructor:	ZHANG Na
Course Description:
This 40 hour course aims to give students an understanding of some key themes in landscape pattern, process and change, with particular emphasis on principles and applications of landscape ecology. The course prerequisites include course work in ecology or natural geography, etc. By the end of course, students will gain advanced understanding of the basic concepts and theories, and be enlightened by some practice cases. Also, students will learn the study meanings, contents, methods, and the newest advances of some key scientific issues in current international landscape ecology. The course will be a mixture of lectures, directed readings, discussions and student’s presentations which will cover different topics about methods and applications in landscape ecology. Exam will be taken at the end of course. Students will gain scores from their class performance, written reports, oral presentation and final exam.
References:
1. WU Jianguo. 2007. Landscape Ecology – Pattern, Process, Scale and Hierarchy (2nd edition). Beijing: Higher Education Press. 2. XIAO Duning, LI Xiuzhen, GAO Jun, CHANG Yu, ZHANG Na, LI Tuansheng. 2010. Landscape Ecology (2nd edition). Beijing: Science Press. 3. TURNER M.G., GARDNER R.H., O'NEILL, R.V. 2001. Landsape Ecology: In Theory and Practice. New York: Springer-Verlag. 4. FU Bojie, CHEN Liding, MA Keming, WANG Yanglin. 2001. Lanscape Ecology: Principles and Applications. Beijing: Science Press. 5. FORMAN R.T.T. 2006. Land Mosaics: The Ecology of Landscapes and Regions (9th edition). United Kingdom: Cambridge University Press. 6. WU Jianguo, HOBBS R.J. eds. 2007. Key Topics in Landscape Ecology. New York: Cambridge University Press.

Remote Sensing: Principles and Methods

2015-11-06T09:05:53+08:00

Name:	Remote Sensing: Principles and Methods
No.:	811009Y
Hour:	40	Credit:	2
Instructor:	JIANG Xiaoguang
Course Description:
This 40 hour course aims to give students an understanding of the principles and methods of remote sensing, mainly including the imaging mechanism of remote sensing image, interpretation and analysis of visible/near infrared remote sensing, thermal infrared remote sensing, microwave remote sensing, and integrated analysis of remote sensing image etc. By the end of the course, students will gain a comprehensive understanding of the fundamental theory and method about remote sensing and applications of remote sensing, which are of great help for students’ future study and research. Exam will be taken at the end of course. Students will gain scores on the basis of the academic record of their homework and the final exam.
References:
ZHAO Yingshi, Principles and Methods of Remote Sensing Application Analysis, Higher Education Press, Beijing 2007. MAI Anxin, Introduction to Remote Sensing, Higher Education Press, Beijing 2001. DAI Changda, JIANG Xiaoguang, TANG Lingli, Application Processing and Analysis of Remote Sensing Images, Press of Qinghua University, Beijing 2004.

Quantitative Methods in Geography

2015-11-06T09:05:50+08:00

Name:	Quantitative Methods in Geography
No.:	811013Y
Hour:	40	Credit:	2
Instructor:	CHENG Shulan
Course Description:
This course provides an introduction to quantitative methods used by geographers to analyze and interpret geographic data and solve geographic problems. Topics include descriptive statistics, hypothesis formulation and testing, correlation, regression, principal component analysis and factor analysis. Through this course, students will have a basic understanding of quantitative methods used by geographers and will be able to analyze and interpret geographic data and solve geographic problems from the statistical perspective. The goals of this course are： 1. To help students understand the purpose, meaning, and use of statistics in geographical research. 2. To introduce basic statistical methods used by geographers in research. 3. To learn how to use Statistical software of SPSS and Sigmaplot to real geographic problem solving.
References:

Introductory Statistics in Geography

2015-11-06T09:05:47+08:00

Name:	Introductory Statistics in Geography
No.:	811014Y
Hour:	40	Credit:	2
Instructor:	NIU Haishan
Course Description:
This course will introduce students to the basic principles and procedures of "traditional" statistics, that are essential to conduct geographic research, but geo-statistics is beyond the scope of this course. Topics include: law of large number and central limit theorem; statistical distributions; T-test; correlation; regression and analysis of variance.
References:

Geographical Information System

2015-11-06T09:05:44+08:00

Name:	Geographical Information System
No.:	811010Y
Hour:	40	Credit:	2
Instructor:	RUI Xiaoping
Course Description:
This course introduces the principles and methods of geographic information systems (GIS). It mainly focuses on the methods of data organization, management modes, processing algorithms, spatial analysis and visualization. The applications of GIS and the trend of the international development of GIS are also introduced in this course. In addition, desktop geographic information systems(such as ArcGIS, Mapinfo, Super Map, and so on) are used as the experimental platform for practical training in this class.
References:

Regional Environment Risk Assessment

2015-11-06T09:05:41+08:00

Name:	Regional Environment Risk Assessment
No.:	812006Y
Hour:	40	Credit:	2
Instructor:	CHENG Shulan
Course Description:
The concern over environmental degradation is common throughout the world. However, it is often difficult to evaluate and predict the impacts of single or compound risks, and all predictive methods require an understanding of the environment at risk. The focus of this course will be to provide a framework for understanding and assessing regional environment risk, as well as commonly used statistical, systematic and model methods and case studies. The goals of this course are： 1. To help students understand the purpose, meaning, theory and framework in Regional environment risk assessment 2. To introduce commonly used statistical, systematic and model methods by scientists in research 3. To learn how to use software of SPSS, AMOS, AHP，and Lingo to real risk assessment problem solving.
References:

Remote Sensing Image Processing

2015-11-06T09:05:38+08:00

Name:	Remote Sensing Image Processing
No.:	812022Y
Hour:	40	Credit:	2
Instructor:	JIANG Xiaoguang
Course Description:
This 40 hour course aims to give students an understanding of the basic theory and method of remote sensing image processing, mainly including the introduction to digital image processing, the radiation correction of remote sensing image, the geometric correction and mosaic of remote sensing image, remote sensing Image enhancement, image operation, image transform, multi-sensor data fusion, and remote sensing image information extraction etc. By the end of course, through the theory study and practical training exercises, students will gain useful knowledge not only in theory, but also in actual operation, which is helpful both for their future study and research. Exam will be taken at the end of course. Students will gain scores on the basis of the academic record of their homework and the final exam.
References:
DAI Changda, JIANG Xiaoguang, TANG Lingli, Application Processing and Analysis of Remote Sensing Images, Press of Qinghua University, Beijing 2004. MAI Anxin, Introduction to Remote Sensing, Higher Education Press, Beijing 2001.

Ecological Methodology

2015-11-06T09:05:36+08:00

Name:	Ecological Methodology
No.:	813005Y
Hour:	40	Credit:	2
Instructor:	NIU Haishan
Course Description:
This course is intended to introduce students to aspects of sampling design, experiment design and field investigations which are essential in ecological research. Content includes but is not limited to the following topics: sample size estimation; sampling procedures and methods; the logical structure of an experiment; experimental designs commonly used in ecological research; special issues about pseudoreplication; data explanation and some common cases in which statistics are misapplied; spatial pattern measurement of populations; multivariate analysis of communities.
References:

Spatial Analysis and Modeling in Landscape

2015-11-06T09:05:34+08:00

Name:	Spatial Analysis and Modeling in Landscape
No.:	813006Y
Hour:	40	Credit:	2
Instructor:	ZHANG Na
Course Description:
This 40 hour course aims to give students an understanding of some key methods of spatial pattern analysis and modeling in landscape. The course prerequisites include course work in landscape ecology, probability and statistics and geographical information system, etc. By the end of course, students will gain advanced understanding of scale issues, landscape metrics, spatial statistics methods and spatial modeling. Also, students will learn to use several popular software systems or programs for spatial pattern analysis and modeling. The course will be a mixture of lectures, directed readings, lab exercises and student’s presentations. Exam will be taken at the end of course. Students will gain scores from their class performance, assignments, oral presentation and final exam.
References:
(1) FORTIN M.-J., DALE, M.R.T. 2005. Spatial Analysis: A guide for Ecologists. Cambridge: Cambridge University Press. (2) LEGENDRE P., LEGENDRE L. 1998. Numerical Ecology (2^nd edition). Amsterdam: Elsevier Science B.V. (3) TURNER M.G., Gardner R.H. 1991. Quantitative Methods in Landscape Ecology: The Analysis and Interpretation of Landscape Heterogeneity. New York: Springer-Verlag. (4) CANTRELL S., COSNER C., RUAN S. 2010. Spatial Ecology. Boca Raton: Chapman & Hall/CRC Press. (5) FRAGSTATS software: http://www.umass.edu/landeco/research/fragstats/fragstats.html

Application Development of Geographical Information System

2015-11-06T09:05:32+08:00

Name:	Application Development of Geographical Information System
No.:	813011Y
Hour:	40	Credit:	2
Instructor:	RUI Xiaoping
Course Description:
This course focuses on the applications and software development of GIS, it introduces the component-based software development method which can be used by students to create practical GIS applications in a short time. A profoundly understanding of the basic concepts and theories of geographic information systems software development and design of this course will enable students to grasp the characteristics of geographic information systems design, methods, processes and technology and make them masters in this field. More details, this course will teach them to design their own customized application of geographic information systems using ArcGIS Engine Geographic Information secondary development kit based on Microsoft’s .Net platform.
References: