基本素養 Basic Literacy

倫理與人文素養
Quality of humanism and ethics.
誠信與務實素養
Integrity and responsibility.
環保與社會關懷
Environmental protection and care for society.
國際視野
Global vision.

核心能力 Competence

具備特定領域的專業知識及技術能力:大地測量與誤差理論
Possess knowledge and techniques in specific field: Geodesy & Theory of errors.
具備特定領域的專業知識及技術能力:地理資訊系統與製圖
Possess knowledge and techniques in specific field: Geographic information system and mapping.
具備特定領域的專業知識及技術能力:攝影測量與遙感探測
Possess knowledge and techniques in specific field: Photogrammetry & Remote Sensing.
具備策劃及執行專題研究之能力
Planning and execute case study ability.
具備表達專業論文之能力
Present professional papers.
具備創新思考及獨立解決問題之能力
Creative thinking and independent problem-solving ability.
具備與不同領域人員協調整合與溝通之能力
Negotiation with other fields’ experts.
具備良好的國際觀
Global vision.
具備領導、管理及規劃之能力
Leadership, management, arrangement.
具備終生自我學習成長之能力
Lifelong self-learning ability.

課程概述 Course Description

本課程藉由分析與探討空間環境資料的特性,以及介紹常用的空間資料分析模式包括空間自相關、空間資料內插以及水文數值模式等為主,其中本課程的應用範圍涵蓋了多種學科領域如生態水文與環境管理等方面。
The course describes for data analysis and modelling across a range of environmental research. The model includes spatial autocorrelation, spatial data interpolation as well as hydrological numerical model. The course covers a variety of subject area: in ecology hydrology, and environmental management.

課程學習目標 Course Objectives

  • gives information to the students with accompanying software tools.
  • describes for spatial modelling across a range of environmental science.
  • includes sptail data analysis and modelling.
  • 課程進度 Progress Description

    進度說明 Progress Description
    1Introduction of course and definition of the spatial data analysis
    2Cluster or Random
    3Spatial autocorrelation
    4Geostatistics
    5IDW & Kriging
    6Effect of DEM/ geomorphic analysis
    7Geographically Weighted Regression
    8Regression kriging
    9Logistics regression
    10Introduction of GeoDa and Crimestat
    11Introduction of ArcGIS modelling – kriging
    12Introduction of python- GWR
    13Introduction of R- IDW, kriging
    14Introduction of R- Logistics regression
    15Introduction of physical model and information integration
    16Hydrologic model
    17Hydrologic model & calibration
    18Project presentation
     以上每週進度教師可依上課情況做適度調整。The schedule may be subject to change.

    有關課程其他調查 Other Surveys of Courses

    1.本課程是否規劃業界教師參與教學或演講? 是,約 1 次
    Is there any industry specialist invited in this course? How many times? Yes, about 1 times.
    2.本課程是否規劃含校外實習(並非參訪)? 否
    Are there any internships involved in the course? How many hours? No