1,720,976 research outputs found
The Italian National Institute of Statistics (ISTAT) survey on meteorological networks in Italy
No full textThe project-weather climate and hydrological indicators Istat
No full textThe present paper illustrates the National Institute of Statistics (Istat) research project entitled "Meteo-climatic and hydrologic indicators" carried out in 2008. Since 1926, Istat disseminates meteorological data collected from gauging stations located over the whole Italian territory. The aims of this project (included in the National Statistical Program 2008-2010 and conducted with the partnership of Cra-Cma) are to implement a geographic data-warehouse with meteorological and hydrological daily values measured since 1951 from the stations of both national (i.e. Mipaaf, Smam, Apat) and regional (e.g. rural development agencies, research institutes) services. Based on the results of statistical data collecting, checking and imputation of lacking values, the data-warehouse will allow to estimate the main climate variables at high spatial resolution. Finally, a set of indicators regarding the interaction of climate with biological, agronomic, pedological and hydrological themes will be estimated, through down-scaling approaches, at administrative spatial scales (e.g. municipalities, local labour systems, agricultural homogeneous regions) in order to achieve integration with other statistical (e.g. socio-economic) variables obtained at that scale
Karst aquifer characterization using physico-chemical spring data (Gran Sasso, Central Italy)
No full textIdrogeologia ambientale: indagini per la salvaguardia degli acquiferi della conca intramontana L’Aquila-Scoppito (Abruzzo)
No full textGroundwater flow characterization in karst aquifers using physico-chemical data of Gran Sasso springs (Central Italy)
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Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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