Optimizing spatial survey administration adopting RT-GSCS: A statistical perspective on performance metrics
The Real-Time Geo-Spatial Consensus System (RT-GSCS) is a web-based open-source tool designed for the administration of real-time spatial surveys. One distinguishing feature of this system lies in the adoption of the Real-Time Spatial Delphi logic as the main computational algorithm to achieve a con...
Saved in:
Published in | MethodsX Vol. 12; p. 102578 |
---|---|
Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Netherlands
Elsevier B.V
01.06.2024
Elsevier |
Subjects | |
Online Access | Get full text |
Cover
Loading…
Abstract | The Real-Time Geo-Spatial Consensus System (RT-GSCS) is a web-based open-source tool designed for the administration of real-time spatial surveys. One distinguishing feature of this system lies in the adoption of the Real-Time Spatial Delphi logic as the main computational algorithm to achieve a convergence of opinions within a group of individuals. The system is available at http://rtgscs.com/ and is particularly instrumental in supporting the decision-making process when spatial data is absent or when user judgments are solicited for territorial actions. Since the release of the beta version, the system has undergone multiple iterations and significant changes, and for this reason, an updated assessment should be conducted. In this paper, we present an in-depth exploration of the latest version of RT-GSCS (v3.0), which includes novel algorithms, statistical analysis, and spatial techniques, optimized for survey administration. The analysis is meticulously conducted by evaluating a comprehensive array of parameters, encompassing performance metrics, spatial elements, security, updates, and privacy assessments. Moreover, a thorough examination of user feedback is presented, enriching the depth of our investigation. This mixed-method approach ensures a robust and updated investigation of the system, facilitating a nuanced comprehension of the process and the attainment of spatial consensus.•Existing spatial survey administration systems cannot facilitate group collaboration for achieving a spatial consensus on the territory in real-time.•The RT-GSCS experienced substantial modifications, necessitating a revised technical evaluation from the initial beta version to its current version.•The proposed method fills the gaps of a technical performance evaluation of the latest version of RT-GSCS, useful for achieving a spatial consensus among a group of individuals with an assessment of the overall performances.
[Display omitted] |
---|---|
AbstractList | The Real-Time Geo-Spatial Consensus System (RT-GSCS) is a web-based open-source tool designed for the administration of real-time spatial surveys. One distinguishing feature of this system lies in the adoption of the Real-Time Spatial Delphi logic as the main computational algorithm to achieve a convergence of opinions within a group of individuals. The system is available at http://rtgscs.com/ and is particularly instrumental in supporting the decision-making process when spatial data is absent or when user judgments are solicited for territorial actions. Since the release of the beta version, the system has undergone multiple iterations and significant changes, and for this reason, an updated assessment should be conducted. In this paper, we present an in-depth exploration of the latest version of RT-GSCS (v3.0), which includes novel algorithms, statistical analysis, and spatial techniques, optimized for survey administration. The analysis is meticulously conducted by evaluating a comprehensive array of parameters, encompassing performance metrics, spatial elements, security, updates, and privacy assessments. Moreover, a thorough examination of user feedback is presented, enriching the depth of our investigation. This mixed-method approach ensures a robust and updated investigation of the system, facilitating a nuanced comprehension of the process and the attainment of spatial consensus.•Existing spatial survey administration systems cannot facilitate group collaboration for achieving a spatial consensus on the territory in real-time.•The RT-GSCS experienced substantial modifications, necessitating a revised technical evaluation from the initial beta version to its current version.•The proposed method fills the gaps of a technical performance evaluation of the latest version of RT-GSCS, useful for achieving a spatial consensus among a group of individuals with an assessment of the overall performances. The Real-Time Geo-Spatial Consensus System (RT-GSCS) is a web-based open-source tool designed for the administration of real-time spatial surveys. One distinguishing feature of this system lies in the adoption of the Real-Time Spatial Delphi logic as the main computational algorithm to achieve a convergence of opinions within a group of individuals. The system is available at http://rtgscs.com/ and is particularly instrumental in supporting the decision-making process when spatial data is absent or when user judgments are solicited for territorial actions. Since the release of the beta version, the system has undergone multiple iterations and significant changes, and for this reason, an updated assessment should be conducted. In this paper, we present an in-depth exploration of the latest version of RT-GSCS (v3.0), which includes novel algorithms, statistical analysis, and spatial techniques, optimized for survey administration. The analysis is meticulously conducted by evaluating a comprehensive array of parameters, encompassing performance metrics, spatial elements, security, updates, and privacy assessments. Moreover, a thorough examination of user feedback is presented, enriching the depth of our investigation. This mixed-method approach ensures a robust and updated investigation of the system, facilitating a nuanced comprehension of the process and the attainment of spatial consensus.•Existing spatial survey administration systems cannot facilitate group collaboration for achieving a spatial consensus on the territory in real-time.•The RT-GSCS experienced substantial modifications, necessitating a revised technical evaluation from the initial beta version to its current version.•The proposed method fills the gaps of a technical performance evaluation of the latest version of RT-GSCS, useful for achieving a spatial consensus among a group of individuals with an assessment of the overall performances.The Real-Time Geo-Spatial Consensus System (RT-GSCS) is a web-based open-source tool designed for the administration of real-time spatial surveys. One distinguishing feature of this system lies in the adoption of the Real-Time Spatial Delphi logic as the main computational algorithm to achieve a convergence of opinions within a group of individuals. The system is available at http://rtgscs.com/ and is particularly instrumental in supporting the decision-making process when spatial data is absent or when user judgments are solicited for territorial actions. Since the release of the beta version, the system has undergone multiple iterations and significant changes, and for this reason, an updated assessment should be conducted. In this paper, we present an in-depth exploration of the latest version of RT-GSCS (v3.0), which includes novel algorithms, statistical analysis, and spatial techniques, optimized for survey administration. The analysis is meticulously conducted by evaluating a comprehensive array of parameters, encompassing performance metrics, spatial elements, security, updates, and privacy assessments. Moreover, a thorough examination of user feedback is presented, enriching the depth of our investigation. This mixed-method approach ensures a robust and updated investigation of the system, facilitating a nuanced comprehension of the process and the attainment of spatial consensus.•Existing spatial survey administration systems cannot facilitate group collaboration for achieving a spatial consensus on the territory in real-time.•The RT-GSCS experienced substantial modifications, necessitating a revised technical evaluation from the initial beta version to its current version.•The proposed method fills the gaps of a technical performance evaluation of the latest version of RT-GSCS, useful for achieving a spatial consensus among a group of individuals with an assessment of the overall performances. The Real-Time Geo-Spatial Consensus System (RT-GSCS) is a web-based open-source tool designed for the administration of real-time spatial surveys. One distinguishing feature of this system lies in the adoption of the Real-Time Spatial Delphi logic as the main computational algorithm to achieve a convergence of opinions within a group of individuals. The system is available at http://rtgscs.com/ and is particularly instrumental in supporting the decision-making process when spatial data is absent or when user judgments are solicited for territorial actions. Since the release of the beta version, the system has undergone multiple iterations and significant changes, and for this reason, an updated assessment should be conducted. In this paper, we present an in-depth exploration of the latest version of RT-GSCS (v3.0), which includes novel algorithms, statistical analysis, and spatial techniques, optimized for survey administration. The analysis is meticulously conducted by evaluating a comprehensive array of parameters, encompassing performance metrics, spatial elements, security, updates, and privacy assessments. Moreover, a thorough examination of user feedback is presented, enriching the depth of our investigation. This mixed-method approach ensures a robust and updated investigation of the system, facilitating a nuanced comprehension of the process and the attainment of spatial consensus.•Existing spatial survey administration systems cannot facilitate group collaboration for achieving a spatial consensus on the territory in real-time.•The RT-GSCS experienced substantial modifications, necessitating a revised technical evaluation from the initial beta version to its current version.•The proposed method fills the gaps of a technical performance evaluation of the latest version of RT-GSCS, useful for achieving a spatial consensus among a group of individuals with an assessment of the overall performances. [Display omitted] The Real-Time Geo-Spatial Consensus System (RT-GSCS) is a web-based open-source tool designed for the administration of real-time spatial surveys. One distinguishing feature of this system lies in the adoption of the Real-Time Spatial Delphi logic as the main computational algorithm to achieve a convergence of opinions within a group of individuals. The system is available at http://rtgscs.com/ and is particularly instrumental in supporting the decision-making process when spatial data is absent or when user judgments are solicited for territorial actions. Since the release of the beta version, the system has undergone multiple iterations and significant changes, and for this reason, an updated assessment should be conducted. In this paper, we present an in-depth exploration of the latest version of RT-GSCS (v3.0), which includes novel algorithms, statistical analysis, and spatial techniques, optimized for survey administration. The analysis is meticulously conducted by evaluating a comprehensive array of parameters, encompassing performance metrics, spatial elements, security, updates, and privacy assessments. Moreover, a thorough examination of user feedback is presented, enriching the depth of our investigation. This mixed-method approach ensures a robust and updated investigation of the system, facilitating a nuanced comprehension of the process and the attainment of spatial consensus. • Existing spatial survey administration systems cannot facilitate group collaboration for achieving a spatial consensus on the territory in real-time. • The RT-GSCS experienced substantial modifications, necessitating a revised technical evaluation from the initial beta version to its current version. • The proposed method fills the gaps of a technical performance evaluation of the latest version of RT-GSCS, useful for achieving a spatial consensus among a group of individuals with an assessment of the overall performances. Image, graphical abstract |
ArticleNumber | 102578 |
Author | Pilla, Francesco Calleo, Yuri |
Author_xml | – sequence: 1 givenname: Yuri orcidid: 0000-0002-0190-6061 surname: Calleo fullname: Calleo, Yuri email: yuri.calleo@ucdconnect.ie – sequence: 2 givenname: Francesco surname: Pilla fullname: Pilla, Francesco |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/39669964$$D View this record in MEDLINE/PubMed |
BookMark | eNqNUk1v1DAQtVAR_aA_gAvKkUsW23HsBA6oWtFSqVIlWs6WY08WL0kcbO-K8uuZdlvUcqg42TPz3tOz5x2SvSlMQMgbRheMMvl-vRjh14JTLrDmtWpekAPOWV3ikO09uu-T45TWlFJWiYoJ_orsV62UbSvFAflxOWc_-t9-WhVpNtmboUibuIWbwrjRTz7liN0wYRkQirCv1-XZ1fLqQ3FSpIyzlL1F1gwxzWCz30KBcCz7EEczWShGyNHb9Jq87M2Q4Pj-PCLfTj9fL7-UF5dn58uTi9LWNculNNI6KngjpbAgKita1dGuc5YyY-umor0y1DHrWmWlkvimWjlTSUsbJXlVHZHzna4LZq3n6EcTb3QwXt81QlxpE9H0ANq1gtmed6qVVKjONb2CllMlVG9B1Qa1Pu205k03grMw4X8MT0SfTib_Xa_CVjMmK9lIhQrv7hVi-LmBlPXok4VhMBOETdIVqxHImob-B1RIKRVlAqFvH_v6a-hhswhQO4CNIaUIvbY-320SbfpBM6pvY6TXGmOkb2OkdzFCJvuH-SD-HOfjjgO4162HqJP1gLt3PmIm8OP9M-w_Zp_gaA |
CitedBy_id | crossref_primary_10_1186_s12544_024_00685_7 |
Cites_doi | 10.1016/j.techfore.2010.09.010 10.1287/mnsc.9.3.458 10.1016/S0169-2070(99)00018-7 10.1016/j.techfore.2011.09.002 10.1016/j.techfore.2016.09.029 10.1108/10662240510590360 10.1016/j.futures.2023.103280 |
ContentType | Journal Article |
Copyright | 2024 The Author(s) 2024 The Author(s). 2024 The Author(s) 2024 |
Copyright_xml | – notice: 2024 The Author(s) – notice: 2024 The Author(s). – notice: 2024 The Author(s) 2024 |
DBID | 6I. AAFTH AAYXX CITATION NPM 7X8 7S9 L.6 5PM DOA |
DOI | 10.1016/j.mex.2024.102578 |
DatabaseName | ScienceDirect Open Access Titles Elsevier:ScienceDirect:Open Access CrossRef PubMed MEDLINE - Academic AGRICOLA AGRICOLA - Academic PubMed Central (Full Participant titles) Directory of Open Access Journals - May need to register for free articles |
DatabaseTitle | CrossRef PubMed MEDLINE - Academic AGRICOLA AGRICOLA - Academic |
DatabaseTitleList | AGRICOLA PubMed MEDLINE - Academic |
Database_xml | – sequence: 1 dbid: DOA name: DOAJ Directory of Open Access Journals url: https://www.doaj.org/ sourceTypes: Open Website – sequence: 2 dbid: NPM name: PubMed url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database |
DeliveryMethod | fulltext_linktorsrc |
Discipline | Medicine |
EISSN | 2215-0161 |
ExternalDocumentID | oai_doaj_org_article_d941cf2b796047bd8f7e920747fce75a PMC11636867 39669964 10_1016_j_mex_2024_102578 S2215016124000323 |
Genre | Journal Article |
GroupedDBID | 0SF 4.4 457 53G 5VS 6I. AACTN AAEDT AAEDW AAFTH AAHBH AAIKJ AALRI AAXUO ABMAC ACGFS ADBBV ADEZE ADRAZ ADVLN AEXQZ AFPKN AFTJW AGHFR AITUG AKRWK ALMA_UNASSIGNED_HOLDINGS AMRAJ AOIJS BCNDV EBS EJD FDB GROUPED_DOAJ HYE IPNFZ IXB KQ8 M48 M~E NCXOZ OK1 RIG ROL RPM SSZ 0R~ AAFWJ AAYWO AAYXX ACVFH ADCNI AEUPX AFJKZ AFPUW AIGII AKBMS AKYEP APXCP CITATION NPM 7X8 7S9 L.6 5PM |
ID | FETCH-LOGICAL-c551t-6a6cd0428664ce43c497b0bbdc01ac5830f7a0d1cd97c67631457da36c0876233 |
IEDL.DBID | M48 |
ISSN | 2215-0161 |
IngestDate | Wed Aug 27 01:03:37 EDT 2025 Thu Aug 21 18:29:28 EDT 2025 Fri Aug 22 21:00:59 EDT 2025 Fri Jul 11 04:41:03 EDT 2025 Thu Jan 02 22:23:16 EST 2025 Tue Jul 01 00:59:03 EDT 2025 Thu Apr 24 22:53:21 EDT 2025 Sat Jul 20 16:35:38 EDT 2024 |
IsDoiOpenAccess | true |
IsOpenAccess | true |
IsPeerReviewed | true |
IsScholarly | true |
Keywords | Statistical evaluation Real-Time Geo-Spatial Consensus System (RT-GSCS) Real-time geo-spatial consensus system Real-time spatial Delphi Spatial consensus |
Language | English |
License | This is an open access article under the CC BY license. 2024 The Author(s). This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
LinkModel | DirectLink |
MergedId | FETCHMERGED-LOGICAL-c551t-6a6cd0428664ce43c497b0bbdc01ac5830f7a0d1cd97c67631457da36c0876233 |
Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ORCID | 0000-0002-0190-6061 |
OpenAccessLink | http://journals.scholarsportal.info/openUrl.xqy?doi=10.1016/j.mex.2024.102578 |
PMID | 39669964 |
PQID | 3146667014 |
PQPubID | 23479 |
ParticipantIDs | doaj_primary_oai_doaj_org_article_d941cf2b796047bd8f7e920747fce75a pubmedcentral_primary_oai_pubmedcentral_nih_gov_11636867 proquest_miscellaneous_3153681880 proquest_miscellaneous_3146667014 pubmed_primary_39669964 crossref_citationtrail_10_1016_j_mex_2024_102578 crossref_primary_10_1016_j_mex_2024_102578 elsevier_sciencedirect_doi_10_1016_j_mex_2024_102578 |
ProviderPackageCode | CITATION AAYXX |
PublicationCentury | 2000 |
PublicationDate | 2024-06-01 |
PublicationDateYYYYMMDD | 2024-06-01 |
PublicationDate_xml | – month: 06 year: 2024 text: 2024-06-01 day: 01 |
PublicationDecade | 2020 |
PublicationPlace | Netherlands |
PublicationPlace_xml | – name: Netherlands |
PublicationTitle | MethodsX |
PublicationTitleAlternate | MethodsX |
PublicationYear | 2024 |
Publisher | Elsevier B.V Elsevier |
Publisher_xml | – name: Elsevier B.V – name: Elsevier |
References | Di Zio, Rosas, Lamelza (bib0011) 2017; 115 Solove (bib0018) 2012; 126 Rowe, Wright (bib0017) 2011; 78 Ula, Adek, Bustami (bib0019) 2021; 1 Calleo, Giuffrida, Pilla (bib0006) 2023 Grime, Wright (bib0013) 2016; 1 Dalkey, Helmer (bib0007) 1963; 9 Bartuskova, Krejcar (bib0002) 2015 Alsmadi, Samarah, Saifan, Zamil (bib0001) 2010; 1 Nayak, Narayan (bib0015) 2019; 6 Linstone, Turoff (bib0014) 1975 Booth, Jansen (bib0003) 2010 Di Zio, Calleo, Bolzan (bib0010) 2023 Evans, Mathur (bib0012) 2005; 15 Rowe, Wright (bib0016) 1999; 15 Dawis, Setiawan (bib0008) 2022; 3 Calleo, Di Zio, Pilla (bib0004) 2023; e155 Di Zio, Pacinelli (bib0009) 2011; 78 Calleo, Di Zio, Pilla (bib0005) 2023 Di Zio (10.1016/j.mex.2024.102578_bib0009) 2011; 78 Rowe (10.1016/j.mex.2024.102578_bib0016) 1999; 15 Grime (10.1016/j.mex.2024.102578_bib0013) 2016; 1 Booth (10.1016/j.mex.2024.102578_bib0003) 2010 Di Zio (10.1016/j.mex.2024.102578_bib0011) 2017; 115 Solove (10.1016/j.mex.2024.102578_bib0018) 2012; 126 Calleo (10.1016/j.mex.2024.102578_bib0005) 2023 Calleo (10.1016/j.mex.2024.102578_bib0006) 2023 Rowe (10.1016/j.mex.2024.102578_bib0017) 2011; 78 Evans (10.1016/j.mex.2024.102578_bib0012) 2005; 15 Linstone (10.1016/j.mex.2024.102578_bib0014) 1975 Di Zio (10.1016/j.mex.2024.102578_bib0010) 2023 Dalkey (10.1016/j.mex.2024.102578_bib0007) 1963; 9 Dawis (10.1016/j.mex.2024.102578_bib0008) 2022; 3 Ula (10.1016/j.mex.2024.102578_bib0019) 2021; 1 Nayak (10.1016/j.mex.2024.102578_bib0015) 2019; 6 Bartuskova (10.1016/j.mex.2024.102578_bib0002) 2015 Calleo (10.1016/j.mex.2024.102578_bib0004) 2023; e155 Alsmadi (10.1016/j.mex.2024.102578_bib0001) 2010; 1 |
References_xml | – volume: 1 start-page: 1 year: 2021 end-page: 6 ident: bib0019 article-title: Emarketplace performance analysis using PIECES method publication-title: Int. J. Eng. Sci. Inf. Technol. – volume: 78 start-page: 1565 year: 2011 end-page: 1578 ident: bib0009 article-title: Opinion convergence in location: a spatial version of the Delphi method publication-title: Technol. Forecast. Soc. Change – year: 2023 ident: bib0005 article-title: Empowering futures adopting a spatial convergence of opinions: a real-time spatial Delphi approach – start-page: 65 year: 2015 end-page: 74 ident: bib0002 article-title: Loading speed of modern websites and reliability of online speed test services publication-title: Computational Collective Intelligence: 7th International Conference, ICCCI 2015, Madrid, Spain, September 21-23, 2015, Proceedings, Part II – volume: 126 start-page: 1880 year: 2012 ident: bib0018 article-title: Introduction: privacy self-management and the consent dilemma publication-title: Harv. Law Rev. – start-page: 3 year: 1975 end-page: 12 ident: bib0014 publication-title: The Delphi method – volume: 6 start-page: 0837 year: 2019 end-page: 2405053138 ident: bib0015 article-title: Strengths and weaknesses of online surveys publication-title: Technology – volume: 78 start-page: 1487 year: 2011 end-page: 1490 ident: bib0017 article-title: The Delphi technique: past, present, and future prospects—Introduction to the special issue publication-title: Technol. Forecast. Soc. Change – year: 2023 ident: bib0006 article-title: Using real-time spatial Delphi to locate loading bays and parcel lockers publication-title: 14th International Conference on Applications of Statistics and Probability in Civil Engineering (ICASP14) – volume: 15 start-page: 353 year: 1999 end-page: 375 ident: bib0016 article-title: The Delphi technique as a forecasting tool: issues and analysis publication-title: Int. J. Forecast. – volume: 115 start-page: 143 year: 2017 end-page: 154 ident: bib0011 article-title: Real time spatial Delphi: fast convergence of experts’ opinions on the territory publication-title: Technol. Forecast. Soc. Change – volume: 1 start-page: 16 year: 2016 ident: bib0013 article-title: Delphi method publication-title: Wiley StatsRef: Stat. Ref. Online – volume: e155 year: 2023 ident: bib0004 article-title: Facilitating spatial consensus in complex future scenarios through real-time spatial Delphi: a novel web-based open platform publication-title: Futures Foresight Sci. – volume: 3 start-page: 17 year: 2022 end-page: 20 ident: bib0008 article-title: Evaluation of the website ‘Aisyiyah Surakarta of University performance based on search engine optimization using automated software testing Gtmetrix publication-title: Int. J. Comput. Inf. Syst. (IJCIS) – volume: 1 start-page: 41 year: 2010 end-page: 49 ident: bib0001 article-title: Automatic model based methods to improve test effectiveness publication-title: Univers. J. Comput. Sci. Eng. Technol. – volume: 15 start-page: 195 year: 2005 end-page: 219 ident: bib0012 article-title: The value of online surveys publication-title: Internet Res. – year: 2023 ident: bib0010 article-title: Delphi-based visual scenarios: an innovative use of generative adversarial networks publication-title: Futures – start-page: 145 year: 2010 end-page: 166 ident: bib0003 article-title: A review of methodologies for analyzing websites publication-title: Web Technologies: Concepts, Methodologies, Tools, and Applications – volume: 9 start-page: 458 year: 1963 end-page: 467 ident: bib0007 article-title: An experimental application of the Delphi method to the use of experts publication-title: Manage. Sci. – volume: 1 start-page: 41 issue: 1 year: 2010 ident: 10.1016/j.mex.2024.102578_bib0001 article-title: Automatic model based methods to improve test effectiveness publication-title: Univers. J. Comput. Sci. Eng. Technol. – volume: e155 year: 2023 ident: 10.1016/j.mex.2024.102578_bib0004 article-title: Facilitating spatial consensus in complex future scenarios through real-time spatial Delphi: a novel web-based open platform publication-title: Futures Foresight Sci. – volume: 78 start-page: 1565 issue: 9 year: 2011 ident: 10.1016/j.mex.2024.102578_bib0009 article-title: Opinion convergence in location: a spatial version of the Delphi method publication-title: Technol. Forecast. Soc. Change doi: 10.1016/j.techfore.2010.09.010 – start-page: 65 year: 2015 ident: 10.1016/j.mex.2024.102578_bib0002 article-title: Loading speed of modern websites and reliability of online speed test services – start-page: 145 year: 2010 ident: 10.1016/j.mex.2024.102578_bib0003 article-title: A review of methodologies for analyzing websites – volume: 6 start-page: 0837 issue: 7 year: 2019 ident: 10.1016/j.mex.2024.102578_bib0015 article-title: Strengths and weaknesses of online surveys publication-title: Technology – volume: 1 start-page: 16 year: 2016 ident: 10.1016/j.mex.2024.102578_bib0013 article-title: Delphi method publication-title: Wiley StatsRef: Stat. Ref. Online – volume: 9 start-page: 458 issue: 3 year: 1963 ident: 10.1016/j.mex.2024.102578_bib0007 article-title: An experimental application of the Delphi method to the use of experts publication-title: Manage. Sci. doi: 10.1287/mnsc.9.3.458 – year: 2023 ident: 10.1016/j.mex.2024.102578_bib0006 article-title: Using real-time spatial Delphi to locate loading bays and parcel lockers – year: 2023 ident: 10.1016/j.mex.2024.102578_bib0005 – volume: 3 start-page: 17 issue: 1 year: 2022 ident: 10.1016/j.mex.2024.102578_bib0008 article-title: Evaluation of the website ‘Aisyiyah Surakarta of University performance based on search engine optimization using automated software testing Gtmetrix publication-title: Int. J. Comput. Inf. Syst. (IJCIS) – start-page: 3 year: 1975 ident: 10.1016/j.mex.2024.102578_bib0014 – volume: 15 start-page: 353 issue: 4 year: 1999 ident: 10.1016/j.mex.2024.102578_bib0016 article-title: The Delphi technique as a forecasting tool: issues and analysis publication-title: Int. J. Forecast. doi: 10.1016/S0169-2070(99)00018-7 – volume: 1 start-page: 1 issue: 4 year: 2021 ident: 10.1016/j.mex.2024.102578_bib0019 article-title: Emarketplace performance analysis using PIECES method publication-title: Int. J. Eng. Sci. Inf. Technol. – volume: 78 start-page: 1487 issue: 9 year: 2011 ident: 10.1016/j.mex.2024.102578_bib0017 article-title: The Delphi technique: past, present, and future prospects—Introduction to the special issue publication-title: Technol. Forecast. Soc. Change doi: 10.1016/j.techfore.2011.09.002 – volume: 115 start-page: 143 year: 2017 ident: 10.1016/j.mex.2024.102578_bib0011 article-title: Real time spatial Delphi: fast convergence of experts’ opinions on the territory publication-title: Technol. Forecast. Soc. Change doi: 10.1016/j.techfore.2016.09.029 – volume: 15 start-page: 195 issue: 2 year: 2005 ident: 10.1016/j.mex.2024.102578_bib0012 article-title: The value of online surveys publication-title: Internet Res. doi: 10.1108/10662240510590360 – volume: 126 start-page: 1880 year: 2012 ident: 10.1016/j.mex.2024.102578_bib0018 article-title: Introduction: privacy self-management and the consent dilemma publication-title: Harv. Law Rev. – year: 2023 ident: 10.1016/j.mex.2024.102578_bib0010 article-title: Delphi-based visual scenarios: an innovative use of generative adversarial networks publication-title: Futures doi: 10.1016/j.futures.2023.103280 |
SSID | ssj0001343142 |
Score | 2.3252575 |
Snippet | The Real-Time Geo-Spatial Consensus System (RT-GSCS) is a web-based open-source tool designed for the administration of real-time spatial surveys. One... |
SourceID | doaj pubmedcentral proquest pubmed crossref elsevier |
SourceType | Open Website Open Access Repository Aggregation Database Index Database Enrichment Source Publisher |
StartPage | 102578 |
SubjectTerms | algorithms decision making Internet Real-time geo-spatial consensus system Real-Time Geo-Spatial Consensus System (RT-GSCS) Real-time spatial Delphi Spatial consensus spatial data Statistic statistical analysis Statistical evaluation surveys |
SummonAdditionalLinks | – databaseName: Directory of Open Access Journals - May need to register for free articles dbid: DOA link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1Rb9MwELbQHhAvCAZjBTYZiadJEUl8tlPeRkVXIQESW6W-WY7jaGU0rdZ2Gvx67pykbUAqL7yl6bmpfWffXfz5O8bepsJJqUuCVTkVgU4hyjVepXkCHicfupCAtviiRmP4NJGTnVJfhAmr6YHrgXtX9CFxZZprYhHReZGV2vdTon0vndcyhEbo83aSqfB2RaBjhLTdxgyArpm_x3wwBWIrkFRWbccRBb7-jj_6O978Eza544eGT9jjJoDk5_Uff8oe-OqQPfzcbJE_YzdfcRGYTX-hS-JLgkuj8HJ9e-d_ctshysWP8wWBnvm3q-jicnD5np9zOl8UqJux1WJ7DpOj-GJ7xIDPqA6XWz5n4-HHq8EoaioqRKiRZBUpq1xBWZJS4DwIB32dx3leuDixTmYiLrWNi8QVfVQYLj0JSF1YoRwx16VCHLGDal75Y8ZL8GVMcpjEQZHE1oIqM3C4RoC0se6xuB1e4xq6cap68cO0uLLvBjViSCOm1kiPnW2aLGqujX3CH0hnG0GiyQ430HhMYzzmX8bTY9Bq3DQRRx1J4E9N9z37TWsdBmcjbbHYys_XS4MDhvmgxrxzn4wUKiMevB57UVvUphcCs0_MQLF11rG1Tje731TT68AKnmBkrTKlX_6PgXnFHlF_a0zca3awul37E4y-VvlpmGi_ATUZLYY priority: 102 providerName: Directory of Open Access Journals – databaseName: Elsevier ScienceDirect Open Access Journals dbid: IXB link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1Lj9MwELZWe0BcEG_KS0bihBTV8TPd227FskICJLor9WY5jgMBmkZ9rIBfz4yTtBuQeuCWpOO09oznUc98Q8hrLrxSpsS0Kq8TabhMcgNXPE9lgM0HJiRmW3zUF1fy_VzNj8i0r4XBtMpO97c6PWrr7sm4W81xU1XjGQdrhQ4LZkEywRHxU8gsFvHNz_b_swgwkbGHDtInOKA_3IxpXovwE6JELhHDQGGztRvmKaL4D6zUv17o38mUN6zT-V1yp3Mr6Wn7y--Ro1DfJ7c-dAfnD8j3T6AaFtVvMFR0jUnUQLzerq7DL-oG8Llwu2wwFZp-vkzezaazE3pKseooAjrDqGZfnUmBvNkXHtAFdufy64fk6vzt5fQi6fosJMCndJNop32BsZPW0gcpvJyYnOV54VnqvMoEK41jReqLCbARFFIqlSmc0B7x7LgQj8hxvazDE0JLGUqGdBDaySJlzkldZtKD5pDKMTMirF9e6zsQcuyF8cP22WbfLHDEIkdsy5ERebMb0rQIHIeIz5BnO0IEz44PlqsvtpMeW0xk6kueGwSmMXmRlSZMOHYSKH0wyo2I7DluB7IIr6oOfferXjos7FE8eHF1WG7XFhYMokQD0eghGiV0huh4I_K4lajdLATEpBCXwuhsIGuDaQ4_qauvESs8BX9bZ9o8_b85PSO38a7NjXtOjjerbXgBXtgmfxm32R8HFC7X priority: 102 providerName: Elsevier |
Title | Optimizing spatial survey administration adopting RT-GSCS: A statistical perspective on performance metrics |
URI | https://dx.doi.org/10.1016/j.mex.2024.102578 https://www.ncbi.nlm.nih.gov/pubmed/39669964 https://www.proquest.com/docview/3146667014 https://www.proquest.com/docview/3153681880 https://pubmed.ncbi.nlm.nih.gov/PMC11636867 https://doaj.org/article/d941cf2b796047bd8f7e920747fce75a |
Volume | 12 |
hasFullText | 1 |
inHoldings | 1 |
isFullTextHit | |
isPrint | |
link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV3db9MwED-NISFe0MZnGZuMxBNSUBI7doqE0DYxBtJAYqvUN8txnFFY09K0aNtfvzsnaQlMlXiJ8nF2FN-d7y4-_w7gVcxtkqiC0qqsDISKRZApPIuzSDhUPjQhPtviizweiM_DZLgBbXmrZgCrW0M7qic1mF28ufx19R4V_t0qV2vsLjHUiwUBEaAI3oG7aJgUFTQ4abx9_8uFo7X05XRiNHQBOTvtOudtvXQslQf07xisfx3Sv_Mq_zBUR1vwoPEw2X4tEtuw4cqHcO-kWUN_BD-_4iwxHl2jzWIV5VMjcbWY_XZXzHSQdPFyMqWsaPbtLPh4enj6lu0z2oDksZ2x1XS1UZMh-XS1B4GNqVCXrR7D4OjD2eFx0JRcCJBl0TyQRtqcwigphXWCW9FXWZhluQ0jY5OUh4UyYR7ZvI8cxbkpEonKDZeWoO1izp_AZjkp3TNghXBFSHQY5Yk8Co0RskiFxUlEJCZUPQjb4dW2wSOnshgXuk08-6GRI5o4omuO9OD1ssm0BuNYR3xAPFsSEo62vzGZnetGLXXeF5Et4kwRRo3K8rRQrh9TUYHCOpWYHoiW47pxSWpXA7sarXv3y1Y6NKorrcGY0k0WlcYBw4BRYWC6jibhMiWgvB48rSVq-RUcw1MMUbF12pG1zmd2n5Sj7x42PELXW6ZSPf-fUdyB-3RVJ8e9gM35bOF20Q2bZ3v-9wUePw0P9ryi3QAtCzBW |
linkProvider | Scholars Portal |
linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV3db9MwELemIQEviG_KxjASvCBFTRzHTifxsA1Gyz6QaCf1zTiOA4E1jZoWGP8W_-Du8tEuIPUBaW9pck7tO_s-4vPvCHnJfBMEMsG0KiMcLhl3IglXLPK4hcUHJqTMtjgV_TP-YRyMN8if5iwMplXWur_S6aW2ru90a2528zTtDhlYK3RYMAvS9VlTwfrIXvyEuK14M3gLQn7F2OG70UHfqUsLONA1b-4ILUyM4YIQ3FjuG96TkRtFsXE9bYLQdxOp3dgzcQ96DmvQ44GMtS8MQrgx_AoKev8GeB8StcFgvL_6sOODTS6L9mAHHexhs5ta5pVN7C8ISxlH0IQAq7tdsYdl2YCWWfzX7f07e_OKOTy8S-7Ufizdq1h1j2zY7D65eVLv1D8g3z-CLpqkv8Ey0gKztoG4WMx-2AuqW3i98HOaY-41_TRy3g8Phrt0j-IxpxJBGlrlq-OgFMjz1UkHOsFyYKZ4SM6uhfuPyGY2zewTQhNuExfpIJbksedqzUUScgOqigfalR3iNuxVpkY9x-Ib56pJb_umQCIKJaIqiXTI62WTvIL8WEe8jzJbEiJad3ljOvui6umq4h73TMIiiUg4MorDRNoew9IFibEy0B3CG4mr1uSHV6Xr_vtFMzsUKAXc6dGZnS4KBQyDsFRC-LuOJvBFiHB8HfK4mlHLUfgQBEMgDK3D1lxrDbP9JEu_luDkHjj4IhTy6f-N6Tm51R-dHKvjwenRFrmNT6rEvG2yOZ8t7DNwAefRTrnkKPl83Wv8EgzBavU |
openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Optimizing+spatial+survey+administration+adopting+RT-GSCS%3A+A+statistical+perspective+on+performance+metrics&rft.jtitle=MethodsX&rft.au=Calleo%2C+Yuri&rft.au=Pilla%2C+Francesco&rft.date=2024-06-01&rft.issn=2215-0161&rft.eissn=2215-0161&rft.volume=12&rft.spage=102578&rft_id=info:doi/10.1016%2Fj.mex.2024.102578&rft.externalDBID=n%2Fa&rft.externalDocID=10_1016_j_mex_2024_102578 |
thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2215-0161&client=summon |
thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2215-0161&client=summon |
thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2215-0161&client=summon |