(1) background: Urban representations of the Amazon are urgently needed in order to better understand the complexity of urban processes in this area of the World. So far, limited work that represents Amazonian urban regions has been carried out. (2) methods: Our study area is the Ecuadorian Amazon. We performed a K-means algorithm using six urban indicators: Urban fractal dimension, number of paved streets, urban radiant intensity (luminosity), and distances to the closest new deforested areas, to oil pollution sources, and to mining pollution sources. We also carried out fieldwork to qualitatively validate our geospatial and statistical analyses. (3) results: We generated six Amazonian urban regions representing different urban configurations and processes of major cities, small cities, and emerging urban zones. The Amazonian urban regions generated represent the urban systems of the Ecuadorian Amazon at a general scale, and correspond to the urban realities at a local scale. (4) conclusions: An Amazonian urban region is understood as a set of urban zones that are dispersed and share common urban characteristics such a similar distance to oil pollution sources or similar urban radiant intensity. Our regionalization model represents the complexity of the Amazonian urban systems, and the applied methodology could be transferred to other Amazonian countries.

中文翻译：

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使用地理空间方法生成和绘制亚马逊城市区域

（1）背景：为了更好地了解世界这一地区的城市流程的复杂性，迫切需要亚马逊地区的城市代表。到目前为止，已经完成了代表亚马逊城市地区的有限工作。（2）方法：我们的研究区域是厄瓜多尔的亚马逊。我们使用六个城市指标执行了K均值算法：城市分形维数，铺装街道数量，城市辐射强度（光度）以及到最近的新砍伐森林地区，石油污染源和采矿污染源的距离。我们还进行了实地调查，以定性验证我们的地理空间和统计分析。（3）结果：我们生成了六个亚马逊地区，分别代表了大城市，小城市和新兴城市地区的不同城市配置和过程。生成的亚马逊地区城市区域代表了厄瓜多尔亚马逊地区的一般城市系统，并与当地规模的城市现实相对应。（4）结论：亚马逊城市地区被理解为一组分散且共享共同城市特征的城市区域，例如与石油污染源的距离相似或城市辐射强度相似。我们的区域化模型代表了亚马逊城市体系的复杂性，所采用的方法可以转移到其他亚马逊国家。亚马逊城市地区被理解为一组分散且共享共同城市特征的城市区域，例如与石油污染源的距离相似或城市辐射强度相似。我们的区域化模型代表了亚马逊城市体系的复杂性，所采用的方法可以转移到其他亚马逊国家。亚马逊城市地区被理解为一组分散且共享共同城市特征的城市区域，例如与石油污染源的距离相似或城市辐射强度相似。我们的区域化模型代表了亚马逊城市体系的复杂性，所采用的方法可以转移到其他亚马逊国家。