This paper brings a comprehensive systematic review of the application of geospatial artificial intelligence (GeoAI) in quantitative human geography studies, including the subdomains of cultural, economic, political, historical, urban, population, social, health, rural, regional, tourism, behavioural, environmental and transport geography. In this extensive review, we obtain 14,537 papers from the Web of Science in the relevant fields and select 1516 papers that we identify as human geography studies using GeoAI via human scanning conducted by several research groups around the world. We outline the GeoAI applications in human geography by systematically summarising the number of publications over the years, empirical studies across countries, the categories of data sources used in GeoAI applications, and their modelling tasks across different subdomains. We find out that existing human geography studies have limited capacity to monitor complex human behaviour and examine the non-linear relationship between human behaviour and its potential drivers—such limits can be overcome by GeoAI models with the capacity to handle complexity. We elaborate on the current progress and status of GeoAI applications within each subdomain of human geography, point out the issues and challenges, as well as propose the directions and research opportunities for using GeoAI in future human geography studies in the context of sustainable and open science, generative AI, and quantum revolution.

中文翻译：

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绘制定量人文地理学中地理空间人工智能（GeoAI）的前景和路线图：广泛的系统回顾

本文对地理空间人工智能（GeoAI）在定量人文地理学研究中的应用进行了全面系统的综述，包括文化、经济、政治、历史、城市、人口、社会、健康、乡村、区域、旅游、行为等子领域。 、环境和交通地理。在这次广泛的综述中，我们从 Web of Science 获得了相关领域的 14,537 篇论文，并选择了 1516 篇论文，我们将其确定为由世界各地多个研究小组通过人体扫描使用 GeoAI 进行的人文地理学研究。我们通过系统总结多年来的出版物数量、各国的实证研究、GeoAI 应用中使用的数据源类别及其跨不同子领域的建模任务，概述了 GeoAI 在人文地理学中的应用。我们发现，现有的人文地理学研究在监测复杂的人类行为以及检查人类行为与其潜在驱动因素之间的非线性关系方面的能力有限——这种限制可以通过具有处理复杂性的能力的 GeoAI 模型来克服。我们详细阐述了GeoAI在人文地理学各个子领域的应用现状，指出了问题和挑战，并提出了可持续和开放科学背景下GeoAI在未来人文地理学研究中的方向和研究机会、生成人工智能和量子革命。