Applied Mathematics and Nonlinear Sciences
Journal license

Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 6, Issue 1


Published
on

December 15, 2021


Pages

783-790


DOI

Article

The Spatial Form of Digital Nonlinear Landscape Architecture Design Based on Computer Big Data

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Authors

Shanshan Hu Affiliation:
College of Landscape Architecture, Northeast Forestry University, Harbin 150040, China
, Qi Meng Affiliation:
College of Humanities and Law, Northeast Forestry University, Harbin 150040, China
, Dawei Xu Affiliation:
College of Landscape Architecture, Northeast Forestry University, Harbin 150040, China
, Iyad Katib Affiliation:
Computer Science Department, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia
and Marwan Aouad Affiliation:
Applied Science University, Al Eker, Kingdom of Bahrain


Abstract

Condensing the multi-dimensional digital model of green urban design, and constructing a digital method system of it progressively layer by layer. Based on this research background, the dissertation designs the spatial form of landscape architecture based on the data visualisation of nonlinear technology. The article uses the colour zoning method to design the actual scene of the garden landscape with nonlinear parameteriszation. The simulation result analyses that the proposed nonlinear algorithm has realised the efficiency improvement purpose of landscape architecture design.


Keywords

Landscape design, extensive data analysis, nonlinearity, feature extraction, spatial form design, 34A34


Citation

Hu, S., Meng, Q., Xu, D., Katib, I., & Aouad, M. (2021). The spatial form of digital nonlinear landscape architecture design based on computer big data. Applied Mathematics and Nonlinear Sciences, 6(1), 783–790. https://doi.org/10.2478/amns.2021.1.00069

Published by: Engineering Journals

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