Geo-spatial Information Science最新文献

{"title":"Fritz Ackermann: a true and unequalled friend","authors":"Ed Mikhail","doi":"10.1080/10095020.2023.2231734","DOIUrl":"https://doi.org/10.1080/10095020.2023.2231734","url":null,"abstract":"","PeriodicalId":48531,"journal":{"name":"Geo-spatial Information Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135717579","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Perspectives on the nature of geospatial information","authors":"J. van Genderen","doi":"10.1080/10095020.2017.1337320","DOIUrl":"https://doi.org/10.1080/10095020.2017.1337320","url":null,"abstract":"In the first issue of this year, our editor-in-chief wrote an inspiring Editorial about the 20 years’ history of this journal. That forms a nice background to this Special Issue, in that he gave a very good overview of the journal’s aims and scope, and an interesting summary of geospatial information science, as well as some challenges for the future. During this 20th anniversary year, we will be producing two Special Issues to mark this auspicious occasion. It is a great pleasure that I am writing this guest editorial for the first of these two Special 20th Anniversary Issues for our journal on the subject of “Perspectives on the nature of geospatial information”. Since the introduction of remote sensing in the 1960s, of GIS in the 1970s, followed by GPS, and geospatial information technology, such technologies now permeate in all aspects of people’s daily lives. The advent of smartphones, social media, the cloud computing, big data, the Internet of Things, artificial intelligence (AI), robotics and automation, virtual reality, and several others have enabled many location-based services and other geospatial services to be used in construction, industry, commerce, agriculture, defense and security, disaster management, agriculture as well as many other application areas. The theme of this Special Issue, “Perspectives on the nature of geospatial information” was especially selected to show the wide range of different perspectives, approaches to, and applications of geospatial information. In this issue, we have included major contributions of the leading geospatial information science practitioners and organizations that have shaped this dynamic field. There are 13 papers in it, with authors coming from 13 countries, showing the truly international nature of this journal. We have some excellent review papers on policy, at the global and national levels, as well as overview/status papers with various perspectives on the nature of geospatial information. These include technical, educational, commercial, industrial, security, scientific perspectives on the nature of geospatial information, as well as on geospatial standards issues, in addition to some application examples. The papers also cover many different parts of the world.","PeriodicalId":48531,"journal":{"name":"Geo-spatial Information Science","volume":null,"pages":null},"PeriodicalIF":6.0,"publicationDate":"2017-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89357957","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Design and Implement of Parallel Spatial Analysis System Based on MySQL & MPI: Design and Implement of Parallel Spatial Analysis System Based on MySQL & MPI","authors":"Yuke Zhou, Ting Ma, Chenghu Zhou, Xizhang Gao, Junfu Fan","doi":"10.3724/SP.J.1047.2012.00448","DOIUrl":"https://doi.org/10.3724/SP.J.1047.2012.00448","url":null,"abstract":"","PeriodicalId":48531,"journal":{"name":"Geo-spatial Information Science","volume":null,"pages":null},"PeriodicalIF":6.0,"publicationDate":"2012-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78140644","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Quasi-Likelihood Techniques in a Logistic Regression Equation for Identifying <i>Simulium damnosum s.l.</i> Larval Habitats Intra-cluster Covariates in Togo.","authors":"Benjamin G Jacob,&nbsp;Robert J Novak,&nbsp;Laurent Toe,&nbsp;Moussa S Sanfo,&nbsp;Abena N Afriyie,&nbsp;Mohammed A Ibrahim,&nbsp;Daniel A Griffith,&nbsp;Thomas R Unnasch","doi":"10.1080/10095020.2012.714663","DOIUrl":"https://doi.org/10.1080/10095020.2012.714663","url":null,"abstract":"<p><p>The standard methods for regression analyses of clustered riverine larval habitat data of <i>Simulium damnosum s.l.</i> a major black-fly vector of Onchoceriasis, postulate models relating observational ecological-sampled parameter estimators to prolific habitats without accounting for residual intra-cluster error correlation effects. Generally, this correlation comes from two sources: (1) the design of the random effects and their assumed covariance from the multiple levels within the regression model; and, (2) the correlation structure of the residuals. Unfortunately, inconspicuous errors in residual intra-cluster correlation estimates can overstate precision in forecasted <i>S.damnosum s.l.</i> riverine larval habitat explanatory attributes regardless how they are treated (e.g., independent, autoregressive, Toeplitz, etc). In this research, the geographical locations for multiple riverine-based <i>S. damnosum s.l.</i> larval ecosystem habitats sampled from 2 pre-established epidemiological sites in Togo were identified and recorded from July 2009 to June 2010. Initially the data was aggregated into proc genmod. An agglomerative hierarchical residual cluster-based analysis was then performed. The sampled clustered study site data was then analyzed for statistical correlations using Monthly Biting Rates (MBR). Euclidean distance measurements and terrain-related geomorphological statistics were then generated in ArcGIS. A digital overlay was then performed also in ArcGIS using the georeferenced ground coordinates of high and low density clusters stratified by Annual Biting Rates (ABR). This data was overlain onto multitemporal sub-meter pixel resolution satellite data (i.e., QuickBird 0.61m wavbands ). Orthogonal spatial filter eigenvectors were then generated in SAS/GIS. Univariate and non-linear regression-based models (i.e., Logistic, Poisson and Negative Binomial) were also employed to determine probability distributions and to identify statistically significant parameter estimators from the sampled data. Thereafter, Durbin-Watson test statistics were used to test the null hypothesis that the regression residuals were not autocorrelated against the alternative that the residuals followed an autoregressive process in AUTOREG. Bayesian uncertainty matrices were also constructed employing normal priors for each of the sampled estimators in PROC MCMC. The residuals revealed both spatially structured and unstructured error effects in the high and low ABR-stratified clusters. The analyses also revealed that the estimators, levels of turbidity and presence of rocks were statistically significant for the high-ABR-stratified clusters, while the estimators distance between habitats and floating vegetation were important for the low-ABR-stratified cluster. Varying and constant coefficient regression models, ABR- stratified GIS-generated clusters, sub-meter resolution satellite imagery, a robust residual intra-cluster diagnostic test, MBR-based his","PeriodicalId":48531,"journal":{"name":"Geo-spatial Information Science","volume":null,"pages":null},"PeriodicalIF":6.0,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/10095020.2012.714663","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"31315258","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}