3S is integrated and uses 3S technology to achieve fast, accurate acquisition and real-time dynamic update of massive city information data. The spatial data used in urban night lighting planning is generally large-scale data, and with the increase of urban spatial data, the workload of spatial data collection and updating has also increased geometrically, which requires 3S integration technology to solve .
In the digital city night lighting planning, it needs to involve two types of data: two-dimensional vector graphic data, image data, digital elevation model data, attribute table data, urban three-dimensional graphics and texture data. The qualitative analysis method is used to quantify qualitative indicators, and a combination of qualitative and quantitative methods is used to perform quantitative analysis.
Since urban night lighting planning should consider the lighting effect of the entire city at night, and consider reducing glare and light pollution and saving energy, this planning decision has the characteristics of integrity, multi-objectiveness, dynamics, etc., which requires different mathematics. Model representation and integration to quantify the analytical process. In the digital city night lighting planning, some analytical models that are being used in urban planning can be used: data statistical analysis model, system simulation and prediction model, urban system model, spatial interaction model, spatial behavior model, econometric model, most Excellent planning model, location model, comprehensive evaluation model, etc., develop corresponding analysis models of urban night lighting planning, and make urban night lighting planning more scientific and reasonable.
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