麻省理工学院(Massachusetts Institute of Technology)

创立于1861年, 坐落于美国马萨诸塞州剑桥市(大波士顿地区),是世界著名私立研究型大学。 作为世界顶尖高校,麻省理工学院尤其以自然及工程学享誉世界,位列2015-16 年世界大学学术排名(ARWU)工程学世界第1、计算机科学第2,与斯坦福大 学、加州大学伯克利分校一同被称为工程科技界的学术领袖。截至2017年,著名马萨诸塞州理工师生、校友或研究人员包括了91位诺贝尔奖得主、52位国家科学奖章获奖者、45位罗德学者、38名麦克阿瑟奖得主、6名菲尔兹奖获奖者、25位图灵奖得主。此校同时具很强的创业文化,由其校友所创办的公司利润总值相当于全球第十一大经济体。

麻省理工学院-地理信息系统科研

一、课题方向

GIS science

GIS科学

Data-driven urban environment studies

数据驱动的城市环境研究

Human mobility and travel behavior profiling

人类移动和旅行行为研究

Urban computing and spatial analyses

城市计算和空间分析

Remote sensing

遥感

二、科研内容参考

GIS programming

Program Description & Goals

Geographers rely heavily on using GIS tools for spatial data processing and spatial analysis. However, the algorithms embedded in commercial software may not enough for some geographical analyses. Programming skills are required for geographers to adapt to the quantitative revolution in Geography. Geographers do not need to be professional programmers or be professionals in JAVA or C++. This program will use Python, a very easy learning and powerful programming for handling spatial data and do spatial analysis. A basic programming skill is needed for all geographers, who may join academia or industry in future. The focus of the program is on both breadth and depth. The major topics include basic python programming, data structures and algorithms in Python, advanced functions and tools coding, fundamental spatial data structures and algorithms, and open source Python modules.

Pre-requisites:

Introduction of Geographic Information Science, be familiar with basic operations in ArcGIS and understand the basic ideas of using GIS software to deal with spatial data.

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