نتایج جستجو برای: seasonal trend

تعداد نتایج: 183554  

Journal: :Age and ageing 2017
Maria-Jesús Pueyo-Sánchez Marta Larrosa Xavier Suris Enrique Casado Jaume Auleda Josep Fusté Vicente Ortún

Objectives to describe the secular trend and seasonal variation in the incidence of hip fracture (HF) over 12 years (2003-2014) in Catalonia, the community with the highest incidence of HF in Spain. Methods data about age, gender, type of fracture and month of hospitalisation among patients aged 65 years and older discharged with a diagnosis of HF were collected. Crude and age-standardised an...

Journal: :Remote Sensing 2016
Sonia Cristina Clara Cordeiro Samantha J. Lavender Priscila Costa Goela John Icely Alice Newton

The European Space Agency has acquired 10 years of data on the temporal and spatial distribution of phytoplankton biomass from the MEdium Resolution Imaging Spectrometer (MERIS) sensor for ocean color. The phytoplankton biomass was estimated with the MERIS product Algal Pigment Index 1 (API 1). Seasonal-Trend decomposition of time series based on Loess (STL) identified the temporal variability ...

Journal: :Trans. GIS 2017
Xi Zhu Diansheng Guo

University of South Carolina, Columbia, South Carolina Fuzhou University, Fuzhou, China Correspondence Diansheng Guo, University of South Carolina, Geography, Room 127, 709 Bull Street, Columbia, SC. Email: [email protected] Funding information National Natural Science Foundation of China (NSFC), Grant No. 41471333 Abstract Big urban mobility data, such as taxi trips, cell phone records, and ...

Journal: :CoRR 2017
Irvan Bastian Arief Ang Flora Dilys Salim Margaret Hamilton

Human occupancy information is crucial for any modern Building Management System (BMS). Implementing pervasive sensing and leveraging Carbon Dioxide data from BMS sensor, we present Carbon Dioxide Human Occupancy Counter (CD-HOC), a novel way to estimate the number of people within a closed space from a single carbon dioxide sensor. CD-HOC de-noises and pre-processes the carbon dioxide data. We...

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In this study, the changes in the Khorramabad storm in the period of 1952 to 2015 have been investigated. For this purpose, data from meteorological codes 06 and 07 were received from the Meteorological Organization of the country, and after identifying the days of winding with dust storms and calculating their monthly frequency, monthly, seasonal and annual time series were analyzed. In this s...

Journal: :International Journal of Environment, Agriculture and Biotechnology 2016

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