人口数据格网化是目前人口空间分布研究的热点。
Grid transformation of population data is the focus of population spatial distribution.
文章特别对小格网的路网模式作了重点介绍，认为这种模式应当是有魅力、人性化的城市应当普遍采纳的。
It especially emphasizes the little grid mode, considering that should be generally adopted by the charming and humanized city.
对于采用本方法计算淹没区，准确性受地形图等高距大小、数字化采集精度、数字地面模型（DEM）高程精度以及格网间隔大小、像素探测分辨率等因素的影响。
The accuracy of flood area is mostly dependent on the contour interval of map, accuracy of digitizing map, accuracy of DEM, and interval of GRID, detecting resolution of pixels.
本文主要对大规模地形数据(基于规则格网数字高程模型)的组织与可视化进行研究。
In this paper, study on organization and visualization of the massive terrain dataset mainly on Regular Square Grid data format are discussed.
本文详尽地研究这两种构模方法的基础上，采用三角网生长算法生成了地质层面tin，同时利用格网数据生成三角网法实现了地质层面三维可视化。
Based on a detailed research on these two ways, the paper chooses triangle network growth algorithm to build TIN model and utilizes Grid growth triangle network model to build 3d strata.
同时，格网地图还能将景观的空间异质性定量化、空间化和图形可视化表达。
Meanwhile the grid mapping can be used to realize the quantitative, specialized and visualized description of the spatial heterogeneity.
同时，格网地图还能将景观的空间异质性定量化、空间化和图形可视化表达。
Meanwhile the grid mapping can be used to realize the quantitative, specialized and visualized description of the spatial heterogeneity.
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