Search results for "Spatial Analysi"
showing 10 items of 208 documents
Single-trial-based Temporal Principal Component Analysis on Extracting Event-related Potentials of Interest for an Individual Subject
2021
Abstract Temporal principal component analysis (t-PCA) has been widely used to extract event-related potentials (ERPs) at the group level of multiple subjects’ ERP data. The key assumption of group t-PCA analysis is that desired ERPs of all subjects share the same waveforms (i.e., temporal components), whereas waveforms of different subjects’ ERPs can be variant in phases, peak latencies and so on, to some extent. Additionally, several PCA-extracted components coming from the same ERP dataset failed to be statistically analysed simultaneously because their polarities and amplitudes were indeterminate. To fill these gaps, a novel technique was proposed and employed to extract desired ERP fro…
The Covid-19 containment effects of public health measures - A spatial difference-in-differences approach
2020
AbstractSince mid-March 2020 the Federal and state governments in Germany agreed on comprehensive public health measures to curb the spread of SARS-CoV-2 infections leading to the Covid-19 disease. We study the containment effects of these policy interventions on the progression of the pandemic in the first containment phase in spring 2020 before the easing of restrictions may become effective by the end of April. To exploit both the temporal and spatial dimension in the dissemination of the virus, we conduct a spatial panel data analysis for German NUTS-3 regions. Specifically, we employ a spatial difference-in-differences approach to identify the effects of six compound sets of public hea…
The global distribution of lymphatic filariasis, 2000–18:a geospatial analysis
2020
Background Lymphatic filariasis is a neglected tropical disease that can cause permanent disability through disruption of the lymphatic system. This disease is caused by parasitic filarial worms that are transmitted by mosquitos. Mass drug administration (MDA) of antihelmintics is recommended by WHO to eliminate lymphatic filariasis as a public health problem. This study aims to produce the first geospatial estimates of the global prevalence of lymphatic filariasis infection over time, to quantify progress towards elimination, and to identify geographical variation in distribution of infection. Methods A global dataset of georeferenced surveyed locations was used to model annual 2000–18 lym…
Editorial for the Special Issue “Frontiers in Spectral Imaging and 3D Technologies for Geospatial Solutions”
2019
This Special Issue hosts papers on the integrated use of spectral imaging and 3D technologies in remote sensing, including novel sensors, evolving machine learning technologies for data analysis, and the utilization of these technologies in a variety of geospatial applications. The presented results showed improved results when multimodal data was used in object analysis.
Family related variables effect on later educational outcome: a further geospatial analysis on TIMSS 2015 Finland
2020
AbstractFamily-related factors, like parent’s educational level, their values and expectations have a significant impact on child’s early skills and later educational outcomes. Further, parents provide their child, alongside with other learning environments, a broad mathematical and early literacy input. This study investigates the relationship between family-related socio-economic and other factors like, parental education, amount of books at home, parental attitudes towards mathematics and science, parental perception of child’s early skills and student’s later academic achievement. This is studied in the light of the Finnish data collected for Trends in International Mathematics and Scie…
STATBOX Concept for Simulation of Urban Phenomena
2013
Abstract An urban environment is a dynamic system which is constantly changing in terms of space and time. There are two dimensions in any urban environment – the physical dimension and the functional dimension. All of the structures of an urban environment interact and people are the intermediaries in this process. The spatial structure of cities has been studied from various perspectives by architects, urban planners, environmental scientists, economists, geographers etc. Constant monitoring that is based on remote sensing, spatial statistics, simulation etc., is needed to make on going note of transformation in the various types of land use that exist, movement of people and business env…
Reaktywacje pasażerskich linii kolejowych w Polsce w latach 2000–2020
2021
Badanie dotyczyło procesów reaktywacji pasażerskiego regionalnego ruchu kolejowego w Polsce w latach 2000– 2020. Po przeprowadzonej przed 2000 r. redukcji sieci kolejowej zidentyfikowana została faza renesansu przewozów pasażerskich. W badanym okresie odtworzono przewozy na 63 odcinkach linii. Łączna długość reaktywowanych tras wynosiła 1992 km, z tego odcinki zelektryfikowane objęły 549 km sieci. Największe obszary koncentracji działań reaktywacyjnych zidentyfikowano w południowo-wschodniej oraz północnej Polsce. Na większości tras średnia prędkość wynosiła 65 km/h. Oferta przewozowa na 55% linii oparta była na więcej niż sześciu połączeniach dziennie. Rozpoznano również zjawisko niekonsek…
Confidence maps: a tool to evaluate archaeological data's relevance in spatial analysis
2007
L'article est disponible en ligne sur Virtual Library Propylaeum : http://archiv.ub.uni-heidelberg.de/propylaeumdok/volltexte/2010/551/pdf/08_05_ostir_et_al_confidence.pdf; International audience
Road network characterization to understand city evolution
2021
International audience; Cities combine different kind of processes that drive their evolution. It is of a great interest to understand the effects of different kinds of spatial patterns on those processes, to be able to minimize space consumption and optimize mobility and transportation.In this research, we aim to contribute to the understanding of city evolution by a focus on the road network of the Eastern French city of Dijon’s. Firstly, we select three network indicators that can be used to characterize the city structure as it grows. We apply these indicators to Dijon’s historical road networks from 1650 until 2019. Finally, we discuss how we can use computational simulations of city g…
Spatial data fusion and analysis for soil characterization: a case study in a coastal basin of south-western Sicily (southern Italy)
2012
Salinization is one of the most serious problems confronting sustainable agriculture in semi-arid and arid regions. Accurate mapping of soil salinization and the associated risk represent a fundamental step in planning agricultural and remediation activities. Geostatistical analysis is very useful for soil quality assessment because it makes it possible to determine the spatial relationships between selected variables and to produce synthetic maps of spatial variation. The main objective of this paper was to map the soil salinization risk in the Delia-Nivolelli alluvial basin (south-western Sicily, southern Italy), using multivariate geostatistical techniques and a set of topographical, phy…