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Enregistrement W4242917387 · doi:10.4095/288842

Canadian Geospatial Data Infrastructure target vision

2001· report· en· W4242917387 sur OpenAlexaboutno aff

Notice bibliographique

Revuenon disponible
Typereport
Langueen
DomaineSocial Sciences
ThématiqueGeographic Information Systems Studies
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésGeospatial analysisComputer scienceData scienceSpatial data infrastructureGeographyCartographyRemote sensingSpatial analysis

Résumé

récupéré en direct d'OpenAlex

Geospatial information underlies many of the facilities and services that we take for granted today. Everything from postal codes to weather maps is referenced to geographic location. A tour guide that describes museums but includes no road or address information is not very useful. A weather chart without a map as a backdrop is difficult to interpret. Demographic data without reference to location is of little value. Geospatial information today is pervasive and a core component of our society and our economy. It should not be strange to think of geospatial information as an infrastructure anymore than we think of highways, telecommunications, health care, air traffic control, and policing as infrastructures that we depend on and use daily. The concept of a Canadian Geospatial Data Infrastructure (CGDI) is born of this recognition. Geospatial infor mation is a significant subset of the information explosion that has occurred over the last decade. In the broadest sense, geospatial databases are databases that include information about the location (street address, latitude/longitude, section/township/range) of features in the databases. For many information technology applications, this locational information, or geographic reference, is a key component that facilitates the integration, analysis, and visualization of data. There is a wide and rapidly expanding range of information technology applications that rely on geospatial databases and their embedded geographic reference information. · An emergency response application is the ability to rapidly convert the telephone number of an incoming emergency 911 call to a map that shows the location of the caller and the most rapid avenue of response. · A public safety example is the ability to map a group of similar crimes or accidents to identify patterns that can assist in solving or preventing these incidents. · An environmental application is the use of soil maps, population counts, and road network information to make land use planning decisions. · An economic development application is the capability to bring together the information that a manufacturing plant developer requires in identifying and evaluating potential development sites. Such information might include: the location of potential properties, the availability and nature of transportation systems in the area, the nearby availability of qualified personnel, the proximity of available suppliers, and nature and the availability of utility infrastructure. For all of these applications, location is a critical part of the information because it allows the information to be brought together so that it can be analyzed and displayed. Each of these examples is commonplace today. But many applications are achieved only though tremendous effort and great expense because the underlying information infrastructure either does not yet exist or has not been developed consistently. GeoConnections is a national initiative comprised of seven programs, led by Natural Resources Canada. GeoConnections facilitates broad -based collaboration among federal, provincial, municipal governments as well as the private sector, that is fostering the development of the CGDI. It is anticipated that this infrastructure will, through its ease of use and demonstrable value, become a self-sustaining infrastructure like the Internet, and its many pieces will be supported by the commercial and government organizations that employ it. The CGDI will work on top of existing Internet technology. It will be that portion of the Internet related to the discovery, sharing and use of Canadian geospatial information and services. The CGDI is intended to provide Canadians with on-demand access to geospatial information, technologies and services through an inter-connected network of data, service and technology suppliers. It will advance the development of knowledge applications, decision support systems and commercial products that use geospatial data and technologies. CGDI will enable the sharing and use of geospatially referenced information. The basic ability to share and use information will lead to innovation and unforeseen applications that have broad social and economic value. For this reason, the development of CGDI will focus on the architecture and enabling technologies rather than on any specific applications. Organizations will use CGDI specifications to implement operational systems, and thus ensure their ability to share and use geospatial information and services. CGDI will succeed through those who use it and contribute to it. It has the potential to provide significant and lasting social, environmental, and economic benefit to the people of Canada.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,003
score de la tête « metaresearch » (Gemma)0,011
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Autre · Signal consensuel: Autre
Score de désaccord entre enseignants0,944
Score d'incertitude au seuil0,406

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0030,011
Méta-épidémiologie (sens strict)0,0020,001
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0080,014
Études des sciences et des technologies0,0060,001
Communication savante0,0130,005
Science ouverte0,0040,004
Intégrité de la recherche0,0020,003
Charge utile insuffisante (le modèle a refusé de juger)0,0700,031

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,043
Tête enseignante GPT0,354
Écart entre enseignants0,312 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreAutre

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2001
Routes d'admission1
Résumé présentoui

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