A significant Geographic Information Science(GIS)issue is closely related to spatial autocorrelation,a burning question in the phase of information extraction from the statistical analysis of georeferenced data.At pre...A significant Geographic Information Science(GIS)issue is closely related to spatial autocorrelation,a burning question in the phase of information extraction from the statistical analysis of georeferenced data.At present,spatial autocorrelation presents two types of measures:continuous and discrete.Is it possible to use Moran’s I and the Moran scatterplot with continuous data?Is it possible to use the same methodology with discrete data?A particular and cumbersome problem is the choice of the spatial-neighborhood matrix(W)for points data.This paper addresses these issues by introducing the concept of covariogram contiguity,where each weight is based on the variogram model for that particular dataset:(1)the variogram,whose range equals the distance with the highest Moran I value,defines the weights for points separated by less than the estimated range and(2)weights equal zero for points widely separated from the variogram range considered.After the W matrix is computed,the Moran location scatterplot is created in an iterative process.In accordance with various lag distances,Moran’s I is presented as a good search factor for the optimal neighborhood area.Uncertainty/transition regions are also emphasized.At the same time,a new Exploratory Spatial Data Analysis(ESDA)tool is developed,the Moran variance scatterplot,since the conventional Moran scatterplot is not sensitive to neighbor variance.This computer-mapping framework allows the study of spatial patterns,outliers,changeover areas,and trends in an ESDA process.All these tools were implemented in a free web e-Learning program for quantitative geographers called SAKWeb#(or,in the near future,myGeooffice.org).展开更多
Geographic information technologies(GIT)have matured,have become pervasive throughout many types of organizations over recent decades and gained a wide range of attention in diverse sectors of society.The goal of this...Geographic information technologies(GIT)have matured,have become pervasive throughout many types of organizations over recent decades and gained a wide range of attention in diverse sectors of society.The goal of this paper is to identify the main drivers and uses of GIT in organizations and to give an overview of GIT uses in developing countries with a focus on a case study developed for Mozambique by analyzing the results of a survey of 123 Mozambican organizations that are current GIT users.The results show that the main drivers behind are compatibility,complexity,competitive pressure,donor pressure,government policy,intention to adopt,innovation,relative advantage,security,and technology competence.Organizations of the public and private sectors use GIT for customer/resource/risk management,decision support,education,research,monitoring,prediction,simulation,suitability analysis,sustainability,use and access.展开更多
The MARGov Project consisted in strengthening the interaction among the Professor Luiz Saldanha Marine Park stakeholders, and to collaboratively construct, with social and institutional actors, a governance model for ...The MARGov Project consisted in strengthening the interaction among the Professor Luiz Saldanha Marine Park stakeholders, and to collaboratively construct, with social and institutional actors, a governance model for the Marine Park, located in the municipality of Sesimbra （Portugal）. To pursue this goal, a PPGIS （public participation geographic information system） was developed, allowing the interaction, discussion and public participation of the stakeholders and actors involved. This PPGIS emerged as a crowdsourcing tool, with the purpose of assisting the georeferenced contributes from the local users of the Marine Park, regarding several relevant subjects, such as pollution, economic activities, opportunities and threats to the Marine Park, providing visual, analytical, and demonstrative qualities.展开更多
文摘A significant Geographic Information Science(GIS)issue is closely related to spatial autocorrelation,a burning question in the phase of information extraction from the statistical analysis of georeferenced data.At present,spatial autocorrelation presents two types of measures:continuous and discrete.Is it possible to use Moran’s I and the Moran scatterplot with continuous data?Is it possible to use the same methodology with discrete data?A particular and cumbersome problem is the choice of the spatial-neighborhood matrix(W)for points data.This paper addresses these issues by introducing the concept of covariogram contiguity,where each weight is based on the variogram model for that particular dataset:(1)the variogram,whose range equals the distance with the highest Moran I value,defines the weights for points separated by less than the estimated range and(2)weights equal zero for points widely separated from the variogram range considered.After the W matrix is computed,the Moran location scatterplot is created in an iterative process.In accordance with various lag distances,Moran’s I is presented as a good search factor for the optimal neighborhood area.Uncertainty/transition regions are also emphasized.At the same time,a new Exploratory Spatial Data Analysis(ESDA)tool is developed,the Moran variance scatterplot,since the conventional Moran scatterplot is not sensitive to neighbor variance.This computer-mapping framework allows the study of spatial patterns,outliers,changeover areas,and trends in an ESDA process.All these tools were implemented in a free web e-Learning program for quantitative geographers called SAKWeb#(or,in the near future,myGeooffice.org).
基金This research was partially funded by NUFFIC,the Dutch organization for internationalization in education,through a doctoral grant[grant number:NICHE-MOZ-136].
文摘Geographic information technologies(GIT)have matured,have become pervasive throughout many types of organizations over recent decades and gained a wide range of attention in diverse sectors of society.The goal of this paper is to identify the main drivers and uses of GIT in organizations and to give an overview of GIT uses in developing countries with a focus on a case study developed for Mozambique by analyzing the results of a survey of 123 Mozambican organizations that are current GIT users.The results show that the main drivers behind are compatibility,complexity,competitive pressure,donor pressure,government policy,intention to adopt,innovation,relative advantage,security,and technology competence.Organizations of the public and private sectors use GIT for customer/resource/risk management,decision support,education,research,monitoring,prediction,simulation,suitability analysis,sustainability,use and access.
文摘The MARGov Project consisted in strengthening the interaction among the Professor Luiz Saldanha Marine Park stakeholders, and to collaboratively construct, with social and institutional actors, a governance model for the Marine Park, located in the municipality of Sesimbra （Portugal）. To pursue this goal, a PPGIS （public participation geographic information system） was developed, allowing the interaction, discussion and public participation of the stakeholders and actors involved. This PPGIS emerged as a crowdsourcing tool, with the purpose of assisting the georeferenced contributes from the local users of the Marine Park, regarding several relevant subjects, such as pollution, economic activities, opportunities and threats to the Marine Park, providing visual, analytical, and demonstrative qualities.
