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Zhilin Li

Researcher at Hong Kong Polytechnic University

Publications -  195
Citations -  4900

Zhilin Li is an academic researcher from Hong Kong Polytechnic University. The author has contributed to research in topics: Cartographic generalization & Generalization. The author has an hindex of 33, co-authored 191 publications receiving 4313 citations. Previous affiliations of Zhilin Li include University of Southampton & University of Glasgow.

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Book

Digital Terrain Modeling: Principles and Methodology

TL;DR: DTM-Based Terrain Analysis (DTM Interpretation).
Journal ArticleDOI

Mapping essential urban land use categories in China (EULUC-China): preliminary results for 2018

Peng Gong, +71 more
TL;DR: For example, in this article, the authors present a set of urban land use maps at the national and global scales that are derived from the same or consistent data sources with similar or compatible classification systems and mapping methods.
Journal ArticleDOI

Automated building generalization based on urban morphology and Gestalt theory

TL;DR: The methodology described brings together a number of well-developed theories/techniques, including graph theory, Delaunay triangulation, the Voronoi diagram, urban morphology and Gestalt theory, in such a way that multiscale products can be derived.
Journal ArticleDOI

Algorithms for automated line generalization1 based on a natural principle of objective generalization

TL;DR: A new set of algorithms for locally–adaptive line generalization based on the so-called natural principle of objective generalization is described, which is compared with benchmarks based on both manual cartographic procedures and a standard method found in many geographical information systems.
Book

Algorithmic Foundation of Multi-Scale Spatial Representation

TL;DR: In this paper, Algorithmic Foundation of Multi-Scale Spatial Representation presents comprehensive coverage of all known algorithms available for the geometric transformations in spatial representation of different types of spatial features, such as point cluster, individual line, class of lines, individual area, and class of areas features.