Research Cluster

The research cluster covers the content of big data, machine learning, and data science in landscape and urban planning from theory to application, covering software including Python, GIS, Grasshopper, R Studio, Rhino, SPSS, SQL, TensorFlow, Gephi, etc. Scholars and graduate students from diverse backgrounds have participated in our clusters for more than a year.

Research Cluster Matrix

RC1: Grasshopper Foundation and Landscape, Urban Data Visualization
RC2: GIS Fundamentals, Remote Sensing, and Spatial Syntax (ArcGIS, QGIS, DepthMap)
RC3: Python Fundamentals and Computer Vision in Urban and Landscape Design
RC4: Quantitative research methods based on SPSS, Python, and R Studio

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