Optimize the Planning of Ambulance Standby Points by Using Getis-Ord Gi* Based on Historical Emergency Data

Hong, Yong-Geun; Xu, Zhongjie; Song, Jiajia; Wang, Pengyuan

doi:10.1088/1755-1315/234/1/012034

Cited by 3 publications

(1 citation statement)

References 4 publications

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“…A cluster of these significantly high values may then be regarded as a hot spot. The Getis-Ord Gi* statistics has been widely used in studies pertaining to transportation [47,48], public health [49][50][51], species distributions [52][53][54], etc., but its application for soil studies is still limited, most likely due to the limited availability of spatially dense data such as EC.…”

Section: Introductionmentioning

confidence: 99%

Delineation of Nitrate Reduction Hotspots in Artificially Drained Areas through Assessment of Small-Scale Spatial Variability of Electrical Conductivity Data

Senal

Möller

Koganti

et al. 2022

Sensors

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Identification of nitrate reduction hotspots (NRH) can be instrumental in implementing targeted strategies for reducing nitrate loading from agriculture. In this study, we aimed to delineate possible NRH areas from soil depths of 80 to 180 cm in an artificially drained catchment by utilizing electrical conductivity (EC) values derived by the inversion of apparent electrical conductivity data measured by an electromagnetic induction instrument. The NRH areas were derived from the subzones generated from clustering the EC values via two methods, unsupervised ISODATA clustering and the Optimized Hot Spot Analysis, that highly complement each other. The clustering of EC values generated three classes, wherein the classes with high EC values correspond to NRH areas as indicated by their low redox potential values and nitrate (NO3−) concentrations. Nitrate concentrations in the NRH were equal to 13 to 17% of the concentrations in non-NRH areas and occupied 26% of the total area of the drainage catchments in the study. It is likely that, with the identification of NRH areas, the degree of nitrogen reduction in the vadose zone may be higher than initially estimated at the subcatchment scale.

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Section: Introductionmentioning

confidence: 99%

Delineation of Nitrate Reduction Hotspots in Artificially Drained Areas through Assessment of Small-Scale Spatial Variability of Electrical Conductivity Data

Senal

Möller

Koganti

et al. 2022

Sensors

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Spatiotemporal analysis to understand overflight travel patterns at HawaiI Volcanoes National Park

Peterson¹,

Brownlee²,

Beeco³

et al. 2022

Journal of Outdoor Recreation and Tourism

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Analysis of the spatial evolution of coastal defense patterns in the Ming Dynasty based on long-time-series Wokou invasions (Zhejiang)

Liu,

Wang,

Tan

et al. 2024

Herit Sci

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As a famous coastal defense heritage in the world’s military history, the maritime defense heritage of China’s Ming Dynasty represents the highest achievement of China’s ancient coastal military defense. There is a relative lack of holistic research on this defense system from its establishment to stabilization. Additionally, there is a lack of comparative research on the combination of Wokou invasions and defense patterns from a spatio-temporal perspective. The study aims to offer insights into the temporal and spatial evolution of ancient military defense heritage and investigate the significance of Ming Dynasty coastal defense. This study focuses on Zhejiang, a key coastal defense during the Ming Dynasty. Using GIS tools, it analyzes the spatio-temporal evolution characteristics of Wokou invasions and defense mode in the process of Zhejiang coastal defense from its establishment to its perfection by using GIS analytical tools, and explores the driving factors of the dynamic adjustment of this coastal defense system. The results show that: (1) Hongwu 1 to 31 (1368–1398) witnessed the construction of a 12-area defense system, encompassing Wei and Suo citadels. This followed a multi-point defense strategy, with Wei citadels controlling the coastline and Suo citadels supporting them; (2) Hongwu to Wanli (1368–1588) saw the evolution of five defense modes, evolving from decentralized to centralized and then to a coexistence of both. This culminated in the establishment of 4–6 Defense Mode (4 Canjiang and 6 Bazong); (3) the evolution of the defense paradigm is largely driven by Wokou incursions and is an adaptation from small-scale, short-duration infestations to large-scale, long-duration infestations. The findings show that the Ming Dynasty’s coastal defense system in China was flexible and adaptive, evolving to meet changing defense needs.

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Optimize the Planning of Ambulance Standby Points by Using Getis-Ord Gi* Based on Historical Emergency Data

Cited by 3 publications

References 4 publications

Delineation of Nitrate Reduction Hotspots in Artificially Drained Areas through Assessment of Small-Scale Spatial Variability of Electrical Conductivity Data

Delineation of Nitrate Reduction Hotspots in Artificially Drained Areas through Assessment of Small-Scale Spatial Variability of Electrical Conductivity Data

Spatiotemporal analysis to understand overflight travel patterns at HawaiI Volcanoes National Park

Analysis of the spatial evolution of coastal defense patterns in the Ming Dynasty based on long-time-series Wokou invasions (Zhejiang)

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