I Cluster geografici

I Cluster geografici

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Geographic Clusters Over the past decade, public alphanumeric database have been growing at exceptional rate. Most of data can be georeferenced, so that is possible gaining new knowledge from such databases. The contribution of this paper is two-fold. We first present a model of geographic clusters...

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Bibliographic Details
Main Author: Maurizio Rosina
Format: Article
Language:English
Published: mediaGEO soc. coop. 2010-03-01
Series:GEOmedia
Subjects:
cluster
geopoi
sogei
Online Access:https://www.mediageo.it/ojs/index.php/GEOmedia/article/view/382
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spelling doaj-af8877d01fbd4072bc0358d8d155904f2020-11-25T03:44:00ZengmediaGEO soc. coop.GEOmedia1128-81322283-56872010-03-01144340I Cluster geograficiMaurizio Rosina0SOGEI - Società Generale di Informatica Innovazione, Ricerca e SviluppoGeographic Clusters Over the past decade, public alphanumeric database have been growing at exceptional rate. Most of data can be georeferenced, so that is possible gaining new knowledge from such databases. The contribution of this paper is two-fold. We first present a model of geographic clusters, which uses only geographic and functionally data properties. The model is useful to process huge amount of public/government data, even daily upgrading. After that, we merge the model into the framework GEOPOI (GEOcoding Points Of Interest), and show some graphic map results.https://www.mediageo.it/ojs/index.php/GEOmedia/article/view/382clustergeopoisogei
collection DOAJ
language English
format Article
sources DOAJ
author Maurizio Rosina
spellingShingle Maurizio Rosina
I Cluster geografici
GEOmedia
cluster
geopoi
sogei
author_facet Maurizio Rosina
author_sort Maurizio Rosina
title I Cluster geografici
title_short I Cluster geografici
title_full I Cluster geografici
title_fullStr I Cluster geografici
title_full_unstemmed I Cluster geografici
title_sort i cluster geografici
publisher mediaGEO soc. coop.
series GEOmedia
issn 1128-8132
2283-5687
publishDate 2010-03-01
description Geographic Clusters Over the past decade, public alphanumeric database have been growing at exceptional rate. Most of data can be georeferenced, so that is possible gaining new knowledge from such databases. The contribution of this paper is two-fold. We first present a model of geographic clusters, which uses only geographic and functionally data properties. The model is useful to process huge amount of public/government data, even daily upgrading. After that, we merge the model into the framework GEOPOI (GEOcoding Points Of Interest), and show some graphic map results.
topic cluster
geopoi
sogei
url https://www.mediageo.it/ojs/index.php/GEOmedia/article/view/382
work_keys_str_mv AT mauriziorosina iclustergeografici
_version_ 1724516795589591040

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