The north-eastern region in Thailand is the largest in area and population. Its average income per capita is, however, the lowest in Thailand. This phenomenon leads to migration to big cities, which are considered economic centres. We investigated the effect of spatial interaction on the population density pattern in 20 provinces in north-eastern Thailand. Data was obtained from the compilation and preparation of the demographic data of 2676 sub-districts for 2002–2017. A field survey was conducted through GPS at educational institutions, hospitals, airports, government offices, and shopping malls. The data was analysed using spatial autocorrelation analysis by a global indicator (global Moran’s I) and a local indicator (local Moran’s I and Getis–Ord G_i*). Eight Mueang districts exhibited the high-high (H-H) cluster pattern or hot spot at an increasing yearly rate. In addition, the area with the highest gravity was located near service sources and was found to have the largest population. Moreover, gravity interaction with service sources had a strong positive correlation with migration patterns. Thus, the cluster of areas with the greatest population density is located within the Mueang district in one of the provinces with most service sources, as these places attract people and consequently industrial factories and service trades.

中文翻译：

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泰国东北部分区人口密度格局的空间相互作用效应

泰国的东北地区是面积和人口最多的地区。但是，它的人均收入是泰国最低的。这种现象导致移民到被认为是经济中心的大城市。我们调查了空间互动对泰国东北部20个省的人口密度格局的影响。数据来自2002-2017年2676个街道的人口统计数据的编制和准备。通过GPS在教育机构，医院，机场，政府办公室和购物中心进行了实地调查。使用空间自相关分析通过全局指标（全局Moran's I）和局部指标（局部Moran's I和Getis–Ord G _i）对数据进行了分析。*）。Mueang的八个区以每年递增的速度呈现高-高（HH）群集模式或热点。此外，重力最高的区域位于服务源附近，被发现人口最多。此外，重力与服务源的相互作用与迁移模式有很强的正相关。因此，人口密度最大的区域集群位于服务来源最丰富的省份之一的Mueang区内，因为这些地方吸引了人们，因此吸引了工厂和服务贸易。