1,721,038 research outputs found
GISDAY2016
No full textCome già avvenuto dal 2008 in poi, il 18 novembre 2016 si è tenuto l’evento “GIS DAY 2016: il GIS per la gestione del territorio” nell’aula magna del Dipartimento di Architettura dell’Università degli Studi di Napoli Federico II. Con questa nona raccolta di articoli riguardanti i Sistemi Informativi Territoriali, continua il contributo degli esperti di questa tecnologia intervenuti all’evento per presentare i loro lavori. Ancora una volta si ringraziano tutti gli autori che hanno inviato il loro contributo ed ESRIITALIA, la cui sponsorizzazione è stata fondamentale per la riuscita e l’organizzazione dell’evento. Un particolare ringraziamento a Silvia d’Ambrosio che ha coordinato la realizzazione complessiva dell’evento medesimo, in particolare tenendo i contatti con gli interessati, i docenti e i relatori e ha gestito la revisione grafica degli abstract, degli articoli, l’impaginazione professionale e la pubblicazione di questi atti
GIS FRAMEWORK PER LA CLASSIFICAZIONE DI ELEMENTI URBANI DA STATI EMOTIVI NELLA RETE SOCIALE
No full textThe research proposes the integration on the GIS platform of a sentiment analysis method aimed at evaluating the moods and impressions that citizens and tourists express in unstructured comments in the various social groups connected to lived and aggregated places, built environments, infrastructures. service of urban fabrics. This approach allows the extraction and classification of users' opinions in terms of emotional categories, and constitutes a knowledge base capable of evaluating appropriate strategies for planning and designing interventions on the urban elements under study in order to make them better usable and perception by users
GIS application for environmental data management - Integration of GIS ESRI and Microsoft Technologies
No full textThe aim of this project was the design and implementation of a software / GIS platform for managing, processing and dissemination of data from environmental monitoring campaigns for the different sectors (water, air and land).
The application allows to manage chemical-physical data, inorganic and organic micro-pollutants (anions, cations, metals, perticidi, VOC), microbiological and ecotoxicological parameters accompanied by detailed information documenting the championship site through description, photos, data georeferencing, characteristics of the sampling site, analytical results, etc.
This objective was achieved through the execution of three work phases, each of which has produced a specific output.
For the realization of the platform has been used a data sample relates to an environmental monitoring campaign of the Campania Plain
A new fuzzy rule-based model to partition a complex urban system in homogeneous urban contexts
No full text2019. GISDAY 2018-il GIS per il governo e la gestione del territorio. pp.1-264 - ISBN:978-8825529524 curatori, Barbara Cardone, Ferdinando DI Martino, Salvatore Sessa.
No full textUn Sistema Informativo Territoriale per la valutazione del valore economico degli edifici nelle zone OMI di Napoli
No full textLa ricerca si pone l’obiettivo di sperimentare un processo valido ed innovativo per la valutazione economica di un bene architettonico, attraverso le qualità intrinseche ed estrinseche del bene stesso nelle zone OMI. Per qualità intrinseche s’intendono tutte le caratteristiche dell’edificio di studio, come ad esempio, se è fornito di riscaldamento, se ha ascensore, se si trova al centro della città, se è un edificio destinato a residenze o ad uffici pubblici, se è in buone condizioni oppure fatiscente, ecc. Per qualità estrinseche s’intendono le caratteristiche del contesto in cui è calato l’edificio di studio, come ad esempio, la vicinanza ai servizi, quali farmacie, scuole, ospedali, mezzi pubblici, oppure se è una zona trafficata, se è una zona isolata, tutte caratteristiche che influenzano la valutazione economica del bene. Supporto alle decisioni è la consultazione dei dati dell’ Agenzia del Territorio stabilite nelle zone OMI di Napol
A new emotion–based hot and cold spots detection method to assess the citizen’s discomfort due to heatwaves in the northeastern area of the province of Naples (Italy)
No full textA spatial analysis technique known as “hot and cold spots identification” is used in a variety of situations to identify areas where a particular phenomena is either highly or weakly concentrated or experienced. Numerous hot (cold) spot detection methods have been proposed in the literature. Clustering methods are typically used to extract hot and cold spots as polygons on maps; the more precisely the hot (cold) spot area is determined, the more computationally complex the clustering algorithm becomes. Furthermore, these methods do not take into account the hidden information provided by users through social networks, significant for detecting the presence of hot (cold) spots based on the emotional reactions of citizens. To overcome these critical points, we propose a GIS–based hot and cold spot detection framework encapsulating a classification model of emotion categories of documents extracted from social streams connected to the investigated phenomenon is implemented. The study area is split into subzones; residents’ postings during a predetermined time period is retrieved and analyzed for each subzone. With the aid of a fuzzy–based approach to classifying emotions, the proposed model measures the prevalence of pleasant and unpleasant emotional categories in each subzone at various time intervals. The subzones in which uneasy emotions predominate over the examined time period are referred to as hot (cold) spots. Since the exact geometric shape of the point is not necessary to be detected, the proposed framework has the advantage of greatly reducing the CPU time required by cluster–based hot and cold spot detection techniques. Our framework has been put to the test in the study region, which is made up of towns in the northeastern part of the province of Naples, to find hot and cold places related to the misery of residents due to heat waves. (Italia). The results show that the hot spots, where the greatest discomfort is felt, correspond to areas with a high population/building density, on the contrary, cold spots cover urban areas having a lower population density
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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