SaLIS Surveying and land information science / American association for geodetic surveying . vol 72 n° 3Paru le : 01/09/2012 ISBN/ISSN/EAN : 1538-1242 |
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Code-barres | Cote | Support | Localisation | Section | Disponibilité |
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121-2012031 | RAB | Revue | Centre de documentation | En réserve L003 | Disponible |
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Ajouter le résultat dans votre panierRoot mean square error compared to, and contrasted with, standard deviation / Thomas H. Meyer in SaLIS Surveying and land information science, vol 72 n° 3 (September 2012)
[article]
Titre : Root mean square error compared to, and contrasted with, standard deviation Type de document : Article/Communication Auteurs : Thomas H. Meyer, Auteur Année de publication : 2012 Article en page(s) : pp 107 - 108 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Statistiques
[Termes IGN] analyse comparative
[Termes IGN] écart type
[Termes IGN] erreur moyenne quadratiqueRésumé : (Auteur) This short note defines and discusses root mean square error and standard deviation. These ideas are very similar so confusion about them has arisen. This short note highlights their differences, concluding with a list that shows how they provide different information about an observation set. Numéro de notice : A2012-689 Affiliation des auteurs : non IGN Thématique : MATHEMATIQUE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=83716
in SaLIS Surveying and land information science > vol 72 n° 3 (September 2012) . - pp 107 - 108[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 121-2012031 RAB Revue Centre de documentation En réserve L003 Disponible Definition and densification of the Puerto Rico vertical datum of 2002 / David R. Doyle in SaLIS Surveying and land information science, vol 72 n° 3 (September 2012)
[article]
Titre : Definition and densification of the Puerto Rico vertical datum of 2002 Type de document : Article/Communication Auteurs : David R. Doyle, Auteur ; Dru A. Smith, Auteur Année de publication : 2012 Article en page(s) : pp 109 - 118 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Systèmes de référence et réseaux
[Termes IGN] analyse diachronique
[Termes IGN] contrôle altimétrique
[Termes IGN] système de référence altimétrique
[Termes IGN] système de référence géodésique
[Termes IGN] système de référence localRésumé : (Auteur) The mission of the National Geodetic Survey (NGS) is to “define, maintain and provide access to the National Spatial Reference System to meet our nation's economic, social, and environmental needs.” One component of that mission is to provide accurate geodetic control, including a vertical datum, for all territories of the United States. The islands of the territory of Puerto Rico have had a mixed, patchwork series of geodetic control over the last century, when they have had any geodetic control at all. This has included the lack of a comprehensive vertical datum for the entire territory. In accordance with its mission, NGS underwent an effort beginning in 1993, which has culminated in the Puerto Rico Vertical Datum of 2002. This paper defines that datum and describes the work leading up to its definition. Numéro de notice : A2012-690 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=83717
in SaLIS Surveying and land information science > vol 72 n° 3 (September 2012) . - pp 109 - 118[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 121-2012031 RAB Revue Centre de documentation En réserve L003 Disponible Data mining and analysis Methodology for higher education curriculum development and recruitment practices: An interim report / Susan K. Dickerson in SaLIS Surveying and land information science, vol 72 n° 3 (September 2012)
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Titre : Data mining and analysis Methodology for higher education curriculum development and recruitment practices: An interim report Type de document : Article/Communication Auteurs : Susan K. Dickerson, Auteur ; N.W.J. Hazelton, Auteur Année de publication : 2012 Article en page(s) : pp 129 - 143 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Formation
[Termes IGN] diplôme
[Termes IGN] enseignement supérieur
[Termes IGN] exploration de données
[Termes IGN] géomatique
[Termes IGN] ingenieur
[Termes IGN] rapport
[Termes IGN] recrutementRésumé : (Auteur) Data mining is the process of analyzing data from different perspectives to find new, unique and useful information to aid in decision-making. The reserves of information held by universities in conjunction with data generated from surveys and demographic studies can provide insights to aid curriculum development and recruitment strategies. University administrators and accreditation boards evaluate the success of degree programs, in part, by the success of their graduates. Students succeed through faculty and administration developing coursework and programs that will best prepare them for the work environment. Of concern to university personnel is how faculty and administration can effectively evaluate and modify curriculum and student recruitment to match the dynamic environment of the business world. Universities can learn from private sector business methods to accomplish this. Research being conducted in the Department of Geomatics at the University of Alaska Anchorage (UAA) is intended to explore and implement data analysis and data mining techniques to create a new informational feedback loop to equip faculty for program evaluation and systematic adaptation. As a technologically driven industry, changes in the geospatial workplace are fast. Employers want graduates ready to transition into their world quickly and efficiently. For our graduates to be competitive, the geomatics program must recruit effectively and adapt coursework to match or exceed the rate of change within the geospatial industry. Continually updating curriculum and consistently recruiting the right students will best supply a constantly changing and evolving business environment with the people companies need. The paper is an interim report on the first stages of a data mining project. It shows what can be done with very basic analysis, and also points out a major problem for data mining projects: getting all the data sets into a similar and compatible format that allows deeper analysis. Numéro de notice : A2012-691 Affiliation des auteurs : non IGN Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=83718
in SaLIS Surveying and land information science > vol 72 n° 3 (September 2012) . - pp 129 - 143[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 121-2012031 RAB Revue Centre de documentation En réserve L003 Disponible