Daniel Beene,Yan Lin,Joseph H Hoover et al.
Daniel Beene et al.
Rural-urban classification schemes are frequently used in ecological studies of population health. However, the algorithms used to produce these classifications as well as their underlying assumptions may not match their intended use in hea...
SpaCE: a spatial counterfactual explainable deep learning model for predicting out-of-hospital cardiac arrest survival outcome [0.03%]
SpaCE：一种用于预测院外心脏骤停生存结果的空间事实可解释深度学习模型
Jielu Zhang,Lan Mu,Donglan Zhang et al.
Jielu Zhang et al.
Understanding the relationship between risk factors, geospatial patterns, and disease outcomes is essential in health geography research. These relationships can inform the implementation of healthcare and public health strategies to improv...
Trisalyn Nelson,Amy E Frazier,Peter Kedron et al.
Trisalyn Nelson et al.
Social issues, AI, and climate change are just a few of the disruptive focuses impacting science. The field of GIScience is well positioned to respond to accelerating disruptions due to the interdisciplinary nature of the field and the abil...
Visit probability and accessibility within space-time prism of activity program [0.03%]
活动计划时空棱柱内的访问概率和可达性
Jing Lyu,Feixiong Liao,Soora Rasouli
Jing Lyu
Space-time prism (STP) is widely applied to measure individuals' ability to reach opportunities given the resource limitations. The majority of STP models treat prism-based accessibility as binary measures, wherein all locations within a pr...
Exploring Human Mobility: A Time-Informed Approach to Pattern Mining and Sequence Similarity [0.03%]
探索人类流动性：一种时间感知的模式挖掘和序列相似性的方法
Hao Yang,X Angela Yao,Christopher C Whalen et al.
Hao Yang et al.
The surge in the availability of spatial big data has sparked increased interest in researching human mobility patterns. Despite this, discovering human mobility patterns from such spatial big data and assessing the similarity between patte...
Reasoning cartographic knowledge in deep learning-based map generalization with explainable AI [0.03%]
基于可解释人工智能的深度学习制图综合中的地图知识推理
Cheng Fu,Zhiyong Zhou,Yanan Xin et al.
Cheng Fu et al.
Cartographic map generalization involves complex rules, and a full automation has still not been achieved, despite many efforts over the past few decades. Pioneering studies show that some map generalization tasks can be partially automated...
A grammar for interpreting geo-analytical questions as concept transformations [0.03%]
解释地理分析问题为概念转换的语法规则
Haiqi Xu,Enkhbold Nyamsuren,Simon Scheider et al.
Haiqi Xu et al.
Geographic Question Answering (GeoQA) systems can automatically answer questions phrased in natural language. Potentially this may enable data analysts to make use of geographic information without requiring any GIS skills. However, going b...
An Evaluation of Geo-located Twitter Data for Measuring Human Migration [0.03%]
用于衡量人口迁移的地理定位Twitter数据评估
Junjun Yin,Yizhao Gao,Guangqing Chi
Junjun Yin
This study evaluates the spatial patterns of flows generated from geo-located Twitter data to measure human migration. Using geo-located tweets continuously collected in the U.S. from 2013 to 2015, we identified Twitter users who migrated p...
Fahui Wang
Fahui Wang
Uneven distributions of population and service providers lead to geographic disparity in access for residents and varying workload for staff in facilities. The former can be captured by spatial accessibility in the traditional two-step floa...
Towards an Integrated Science of Movement: Converging Research on Animal Movement Ecology and Human Mobility Science [0.03%]
走向运动的综合科学：动物运动生态学与人类移动性科学研究的融合
Harvey J Miller,Somayeh Dodge,Jennifer Miller et al.
Harvey J Miller et al.
There is long-standing scientific interest in understanding purposeful movement by animals and humans. Traditionally, collecting data on individual moving entities was difficult and time-consuming, limiting scientific progress. The growth o...