@article{Iskandaryan2023b,

title = {Reconstructing secondary data based on air quality, meteorological and traffic data considering spatiotemporal components},

author = {Ditsuhi Iskandaryan and Francisco Ramos-Romero and Sergio Trilles-Oliver},

doi = {https://doi.org/10.1016/j.dib.2023.108957},

issn = {352-3409},

year  = {2023},

date = {2023-02-06},

journal = {Data in Brief},

volume = {47},

number = {108957},

abstract = {This paper introduces the reconstructed dataset along with procedures to implement air quality prediction, which consists of air quality, meteorological and traffic data over time, and their monitoring stations and measurement points. Given the fact that those monitoring stations and measurement points are located in different places, it is important to incorporate their time series data into a spatiotemporal dimension. The output can be used as input for various predictive analyses, in particular, we used the reconstructed dataset as input for grid-based (Convolutional Long Short-Term Memory and Bidirectional Convolutional Long Short-Term Memory) and graph-based (Attention Temporal Graph Convolutional Network) machine learning algorithms. The raw dataset is obtained from the Open Data portal of the Madrid City Council.},

keywords = {geospatial analysis, geospatial data, nitrogen dioxide prediction, spatiotemporal prediction},

pubstate = {published},

tppubtype = {article}

}

@article{ijgi6050126,

title = {Approach to Facilitating Geospatial Data and Metadata Publication Using a Standard Geoservice},

author = {Sergio Trilles-Oliver and Laura Díaz-Sánchez and Joaquín Huerta-Guijarro},

url = {http://www.mdpi.com/2220-9964/6/5/126},

doi = {10.3390/ijgi6050126},

issn = {2220-9964},

year  = {2017},

date = {2017-04-25},

journal = {ISPRS International Journal of Geo-Information},

volume = {6},

number = {5},

keywords = {geoservice, geospatial data, Infrastructure for Spatial Information in Europe (INSPIRE), metadata, Spatial Data Infrastructures (SDI), standard},

pubstate = {published},

tppubtype = {article}

}

@article{GranellCanut2015,

title = {Editorial: Geospatial Data Capturing, Processing, Analysis, and Visualization in Agro-Geoinformatics},

author = { Carlos Granell-Canut and Sven Casteleyn and Clement Atzberger},

url = {http://journal.frontiersin.org/Article/10.3389/fenvs.2015.00076/abstract},

doi = {10.3389/fenvs.2015.00076},

issn = {2296-665X},

year  = {2015},

date = {2015-01-01},

journal = {Frontiers in Environmental Science},

volume = {3},

pages = {76},

keywords = {Agro-Geoinformatics, crop monitoring, data visualization, Geographic Information Systems (GIS), geospatial data, precision agriculture, remote sensing for agriculture, sustainable agriculture},

pubstate = {published},

tppubtype = {article}

}

@article{AguilarMoreno2015a,

title = {Gestión de datos geográficos en bibliotecas universitarias españolas: Estado de la cuestión},

author = { Estefanía Aguilar-Moreno and Carlos Granell-Canut},

url = {http://hdl.handle.net/10234/153649},

doi = {10.3989/redc.2015.2.1193},

issn = {1988-4621},

year  = {2015},

date = {2015-01-01},

journal = {Revista española de Documentación Científica},

volume = {38},

number = {2},

pages = {e085},

abstract = {This paper presents the results of a survey on the management of digital geographic data in Spanish academic libraries. The objective of the research is to discover the state of Spanish university libraries in relation to the management of geographic data, as well as factors that might hinder it. The results reflect the perception of university libraries on their role in managing geographic data in the academic environment.},

note = {IF: 0.551, Q3},

keywords = {academic libraries, Geographic data, Geographic services in libraries, geospatial data, Survey},

pubstate = {published},

tppubtype = {article}

}