GIS-Based Urban Agglomeration Landscape Dynamic Observation and Simulation Prediction Algorithm

Abstract

In order to improve the intelligence level of urban agglomeration landscape, this paper conducts dynamic observation and simulation prediction of urban agglomeration landscape based on geographic information system. There are many characteristics of GIS technology itself that can be well matched with urban landscape research, so in the process of actually studying the green space landscape pattern, GIS technology has a very large space to play. The first is to use GIS technology to collect basic data of different types of scenic spots. Raster data and vector data are two important data in GIS technology. Among them, vector data with point, line, and surface morphology can relatively express the landscape ecology. Raster data is to determine the specific position of each pixel through the vertical and horizontal row and column relationship of the pixel, which is relatively simple in structure and easy to topology. According to the characteristics of the urban agglomeration landscape, the urban agglomeration landscape is reconstructed on the virtual simulation platform using GIS technology. It can meet the long-term sustainable development of the ecological environment of the scenic area. The research of this paper mainly belongs to the scope of practical research. Taking the existing research results as the first point of experimental research, combined with the relevant research results of design, the dynamic observation and simulation prediction algorithm of urban agglomeration landscape are constructed.