Spatial epidemiology zooms in the geographic distribution health and diseases, an often neglected dimension of epidemiology.
空间流行病学则是当中一个常被忽略的范畴，著眼于健康与疾病的地理分布。
Spatial variability and distribution of soil arsenic in Zibo maize producing area, Shandong Province were studied using geostatistics and geographic information system (GIS) techniques.
采用地统计及地理信息(GIS)技术研究了山东省淄博玉米产区土壤砷含量空间变异性及其分布特点。
Using these factors as input and spatial coordinate as expectant output, it is feasible to simulate the spatial distribution of geographic elements by training network.
该函数是由多种因素综合作用的结果，如果以各因素为输入、对应空间坐标值为期望输出，对网络进行训练可对地理要素的空间分布进行模拟。
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