Shiran Zhong,Ling Bian
Shiran Zhong
Communicable diseases 'flow' between locations. These flows dictate where and when certain communities will be affected. While the prediction of disease flows is essential for the timely intervention of epidemics, few studies have addressed...
Stelios Vitalis,Ken Arroyo Ohori,Jantien Stoter
Stelios Vitalis
When QGIS 3.0 was released in 2018, it added support for 3D visualisation. At the same time, CityJSON has been developing as an easy-to-use JavaScript Object Notation (JSON) encoding for 3D city models using the CityGML 2.0 data model. Toge...
Spatially explicit models for exploring COVID-19 lockdown strategies [0.03%]
用于探索COVID-19封锁策略的空间明确模型
David O&#x;Sullivan,Mark Gahegan,Daniel J Exeter et al.
David O&#x;Sullivan et al.
This article describes two spatially explicit models created to allow experimentation with different societal responses to the COVID-19 pandemic. We outline the work to date on modeling spatially explicit infective diseases and show that th...
Terra Populus' Architecture for Integrated Big Geospatial Services [0.03%]
TerraPopulus的集成大数据地理空间服务架构
David Haynes,Steven Manson,Eric Shook
David Haynes
Big geospatial data is an emerging sub-area of geographic information science, big data, and cyberinfrastructure. Big geospatial data poses two unique challenges to these and other cognate disciplines. First, raster and vector data structur...
Compactly representing massive terrain models as TINs in CityGML [0.03%]
作为城市信息模型的不规则三角网地形模型及其紧凑表达方法研究
Kavisha Kumar,Hugo Ledoux,Jantien Stoter
Kavisha Kumar
Terrains form an important part of 3D city models. GIS practitioners often model terrains with 2D grids. However, TINs (Triangulated Irregular networks) are also increasingly used in practice. One such example is the 3D city model of the Ne...
Integrating spatial data analysis functionalities in a GIS environment: Spatial Analysis using ArcGIS Engine and R (SAAR) [0.03%]
基于地理信息系统环境的空间数据分析功能集成：使用ArcGIS Engine和R进行空间分析(SAAR)
Hyeongmo Koo,Yongwan Chun,Daniel Griffith
Hyeongmo Koo
Spatial data analysis (SDA) tools to efficiently handle and explore spatial data have become readily available. Although these SDA tools have their own strengths and purposes, they suffer from limited support in terms of a development envir...
Jeremy Mennis,Eun-Hye Enki Yoo
Jeremy Mennis
The representation of place is a key theoretical advancement that Geographic Information Science can offer to improve the understanding of environmental determinants of health, but developing robust computational representations of place re...
Advancing New Testament interpretation through spatio-temporal analysis: Demonstrated by case studies [0.03%]
基于时空分析的圣经新约诠释研究——案例探讨
Vincent van Altena,Henk Bakker,Jantien Stoter
Vincent van Altena
This article explores, via three case studies, how spatio-temporal analysis can advance New Testament text interpretation. Acts 2, verse 9 to 11 is the text of study. Case study 1 applies network analysis to data representing the Roman road...
A taxonomy of quality assessment methods for volunteered and crowdsourced geographic information [0.03%]
面向志愿和众包地理信息的质量评估方法分类学研究
Lívia Castro Degrossi,João Porto de Albuquerque,Roberto Dos Santos Rocha et al.
Lívia Castro Degrossi et al.
The growing use of crowdsourced geographic information (CGI) has prompted the employment of several methods for assessing information quality, which are aimed at addressing concerns on the lack of quality of the information provided by non-...
Addressing location uncertainties in GPS-based activity monitoring: A methodological framework [0.03%]
基于GPS的活动监测中解决位置不确定性的方法框架
Neng Wan,Ge Lin,Gaines J Wilson
Neng Wan
Location uncertainty has been a major barrier in information mining from location data. Although the development of electronic and telecommunication equipment has led to an increased amount and refined resolution of data about individuals' ...