scholarly journals Spatio-temporal patterns of larval fish ingress to Chincoteague Bay, Maryland, USA during winter and spring 2004 to 2007

2009 ◽  
Vol 377 ◽  
pp. 203-212 ◽  
Author(s):  
JW Love ◽  
DF Luers ◽  
BD Williams
Keyword(s):  
Larval Fish ◽  
Temporal Patterns ◽  
Spatio Temporal ◽  
Chincoteague Bay

SPATIO-TEMPORAL PATTERNS OF WORKFORCE IN INDIA DURING 1981-2011

2019 ◽  
Vol 38 (2) ◽  
pp. 239-254
Author(s):  
M.B. SINGH ◽  
◽  
NITIN KUMAR MISHRA ◽  
Keyword(s):  
Temporal Patterns ◽  
Spatio Temporal

Spatio-temporal Patterns and Driving Forces of Urban Expansion in Beijing Central City Since 1932

2010 ◽  
Vol 11 (4) ◽  
pp. 428-435 ◽  
Author(s):  
Wenhui KUANG ◽  
Quanqin SHAO ◽  
Jiyuan LIU ◽  
Chaoyang SUN
Keyword(s):  
Driving Forces ◽  
Central City ◽  
Urban Expansion ◽  
Temporal Patterns ◽  
Spatio Temporal

scholarly journals Spatio-temporal patterns of scrub typhus in mainland China, 2006-2017

2019 ◽  
Vol 13 (12) ◽  
pp. e0007916 ◽  
Author(s):  
Yujuan Yue ◽  
Dongsheng Ren ◽  
Xiaobo Liu ◽  
Yujiao Wang ◽  
Qiyong Liu ◽  
...  
Keyword(s):  
Scrub Typhus ◽  
Mainland China ◽  
Temporal Patterns ◽  
Spatio Temporal

scholarly journals Quantifying wildlife-livestock interactions and their spatio-temporal patterns: Is regular grid camera trapping a suitable approach?

2020 ◽  
Vol 117 ◽  
pp. 106565
Author(s):  
Roxana Triguero-Ocaña ◽  
Joaquín Vicente ◽  
Pablo Palencia ◽  
Eduardo Laguna ◽  
Pelayo Acevedo
Keyword(s):  
Temporal Patterns ◽  
Camera Trapping ◽  
Regular Grid ◽  
Spatio Temporal

THE NEW RADIOCARBON DATASET FOR TRILITH MONUMENTS OF SOUTHEASTERN ARABIA

Radiocarbon ◽  
2020 ◽  
pp. 1-11
Author(s):  
R Garba ◽  
P Demján ◽  
I Svetlik ◽  
D Dreslerová
Keyword(s):  
Iron Age ◽  
Temporal Patterns ◽  
Temporal Analysis ◽  
Coastal Plains ◽  
Spatial And Temporal Patterns ◽  
Two Phase ◽  
Stone Monuments ◽  
South Central ◽  
Geographical Expansion ◽  
Spatio Temporal

ABSTRACT Triliths are megalithic monuments scattered across the coastal plains of southern and southeastern Arabia. They consist of aligned standing stones with a parallel row of large hearths and form a space, the meaning of which is undoubtedly significant but nonetheless still unknown. This paper presents a new radiocarbon (14C) dataset acquired during the two field seasons 2018–2019 of the TSMO (Trilith Stone Monuments of Oman) project which investigated the spatial and temporal patterns of the triliths. The excavation and sampling of trilith hearths across Oman yielded a dataset of 30 new 14C dates, extending the use of trilith monuments to as early as the Iron Age III period (600–300 BC). The earlier dates are linked to two-phase trilith sites in south-central Oman. The three 14C pairs collected from the two-phase trilith sites indicated gaps between the trilith construction phases from 35 to 475 years (2 σ). The preliminary spatio-temporal analysis shows the geographical expansion of populations using trilith monuments during the 5th to 1st century BC and a later pull back in the 1st and 2nd century AD. The new 14C dataset for trilith sites will help towards a better understanding of Iron Age communities in southeastern Arabia.

Age-Specific Spatio-Temporal Patterns of Female Breast Cancer Mortality in Spain (1975–2005)

2010 ◽  
Vol 20 (12) ◽  
pp. 906-916 ◽  
Author(s):  
María D. Ugarte ◽  
Tomás Goicoa ◽  
Jaione Etxeberria ◽  
Ana F. Militino ◽  
Marina Pollán
Keyword(s):  
Breast Cancer ◽  
Cancer Mortality ◽  
Breast Cancer Mortality ◽  
Temporal Patterns ◽  
Female Breast Cancer ◽  
Female Breast ◽  
Spatio Temporal

scholarly journals Does Entrepreneurship Contribute to Innovation Performance When Considering Spatial Spillover Effects? Evidence From the Automobile Industrial Cluster in China

SAGE Open ◽  
2020 ◽  
Vol 10 (4) ◽  
pp. 215824402098299
Author(s):  
Haishi Li ◽  
Xiangyi Xu ◽  
Shuaishuai Li
Keyword(s):  
Automobile Industry ◽  
Hot Spots ◽  
Hot Spot ◽  
Empirical Support ◽  
Temporal Patterns ◽  
Spillover Effects ◽  
Industrial Clusters ◽  
Innovation Performance ◽  
Spatial Spillover ◽  
Spatio Temporal

Entrepreneurship, as one of the important factors to promote industrial innovation, is closely related to the development of the regional economy. Based on the methods of Kernel density and standard deviation ellipse, this article presents the spatio-temporal patterns of entrepreneurship and innovation performance. The article also examines the spatial spillover mechanism of entrepreneurship on innovation performance by establishing spatial Durbin models. The heterogeneous results of the spatial regression models in six clusters are also discussed. The final results show that the spatio-temporal patterns of entrepreneurship are gradually presenting three major hot spots and two secondary hot spots while the spatio-temporal patterns of innovation performance are presenting four major hot spots and a secondary hot spot; the spatial distribution of both entrepreneurship and innovation performance are changing regularly; the spillover effects of entrepreneurship and innovation performance are both significant; the spatial spillover mechanisms in six automobile industrial clusters are different. The results can provide empirical support for decision-making in the automobile industry in China in the future.

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