Narrow search
Showing 1 - 10 of 2,779
Cover Image
A spatio-temporal autoregressive model for monitoring and predicting COVID infection rates
Congdon, Peter - In: Journal of geographical systems : geographical … 24 (2022) 4, pp. 583-610
Persistent link: https://www.econbiz.de/10013462086
Cover Image
Leader identification in an online health community for cancer survivors : a social network-based classification approach
Zhao, Kang; Greer, Greta E.; Yen, John; Mitra, Prasenjit; … - In: Information systems and e-business management : ISeB 13 (2015) 4, pp. 629-645
Persistent link: https://www.econbiz.de/10011597756
Cover Image
Space-Time Intelligence Systems: Technology, applications and methods
Jacquez, Geoffrey M.; Goovaerts, Pierre; Rogerson, Peter - In: Journal of Geographical Systems 7 (2005) 1, pp. 1-5
Geographic Information System (GIS) software is constrained, to a greater or lesser extent, by a static world view that is not well-suited to the representation of time (Goodchild 2000). Space Time Intelligence System (STIS) software holds the promise of relaxing some of the technological...
Persistent link: https://www.econbiz.de/10005719174
Cover Image
Studying Surface and Canopy Layer Urban Heat Island at Micro-Scale Using Multi-Sensor Data in Geographic Information Systems
Budhiraja, Bakul; Pathak, Prasad Avinash; Acharya, Debopam - In: International Journal of Applied Geospatial Research (IJAGR) 9 (2018) 4, pp. 36-56
Variations of Urban Heat Island (UHI) effect within urban areas cannot be studied in detail using traditional combination of satellite images with thermal infrared (IR) bands and local weather station data due to their limited spatio-temporal scale. In this article, a system has been built to...
Persistent link: https://www.econbiz.de/10012042851
Cover Image
Concept of Association Rule of Data Mining Assists Mitigating the Increasing Obesity
Sharma, Sugam - In: International Journal of Information Retrieval Research … 7 (2017) 2, pp. 1-18
Association rule of data mining is known to encompass a wide set of intelligent techniques that intent to unveil and analyze correlations and associations between items in a set. Market basket analysis is one such, possibly the most popular technique in business domain that is used to analyze...
Persistent link: https://www.econbiz.de/10012045552
Cover Image
OrientSTS-Spatio Temporal Sequence Searching for Trip Planning
Zhou, Chunjie; Dai, Pengfei; Zhang, Zhenxing - In: International Journal of Web Services Research (IJWSR) 15 (2018) 2, pp. 21-46
For a satisfactory trip planning, the following features are desired: 1) automated suggestion of scenes or attractions; 2) personalized based on the interest and habits of travelers; 3) maximal coverage of sites of interest; and 4) minimal effort such as transporting time on the route. Automated...
Persistent link: https://www.econbiz.de/10012048769
Cover Image
Nonparametric Methods for Point Processes and Geostatistical Data
Kolodziej, Elizabeth Young - 2010
In this dissertation, we explore the properties of correlation structure for spatio-temporalpoint processes and a quantitative spatial process. Spatio-temporal pointprocesses are often assumed to be separable; we propose a formal approach for testingwhether a particular data set is indeed...
Persistent link: https://www.econbiz.de/10009465243
Cover Image
Statistical computation and inference for functional data analysis
Jiang, Huijing - 2010
-based method for clustering random time functions which are spatially interdependent. A cluster consists of time functions which … semi-parametric model. We also assume thatthe clustering membership is a realization from a Markov random field. Under … clustering algorithm under a series of settings: small number of time points, high noise level and varying dependence structures …
Persistent link: https://www.econbiz.de/10009475878
Cover Image
Joint Composite Estimating Functions in Spatial and Spatio-Temporal Models.
Bai, Yun - 2011
Spatial or spatio-temporal data are frequently encountered in many scientific disciplines. One major challenge in modeling these processes is the high dimensionality of such data; that is, the number of observations is usually enormous. The first part of the dissertation proposes an efficient...
Persistent link: https://www.econbiz.de/10009482959
Cover Image
Sectoral and spatio-temporal differentiation in technical efficiency: A meta-regression
Djokoto, Justice Gameli; Gidiglo, Ferguson K.; … - In: Cogent Economics & Finance 8 (2020) 1, pp. 1-19
In the literature, existing meta-regressions on efficiency have focused on specific sectors in a country or multiple country and on specific economic activity. None of the available efficiency meta-regressions covers multiple sectors of an economy. We contribute to the literature by...
Persistent link: https://www.econbiz.de/10012657613