scholarly journals LISAM: an open source GIS-based model for liveability spatial assessment

2016 ◽  
Author(s):  
Sara Antognelli ◽  
Marco Vizzari
Keyword(s):  
Open Source ◽  
Landscape Planning ◽  
Local Population ◽  
Central Italy ◽  
Stakeholder Involvement ◽  
Assessment Model ◽  
Spatial Indices ◽  
Spatial Assessment ◽  
Decision Aiding ◽  
Viewshed Analysis

Ecosystem Services (ES) and Urban Services (US) influence place liveability in a comparable manner. Consequently, assessing landscape liveability considering both types of services can result effective for landscape planning and policy-making purposes. Since liveability depends also on local population preferences and perceptions, stakeholder involvement results essential for a more coherent liveability assessment. In this study a Spatial Multicriteria Decision Aiding (S-MCDA) approach guided the development of a LIveability Spatial Assessment Model (LISAM). Using a combination of GIS techniques (Euclidean distance, kernel density estimation, network analysis, viewshed analysis), consistent and comparable ES and US spatial indices were calculated in a study area located in central Italy. The indices were implemented in open-source geo-spatial software (QGIS, PostGIS and PostgreSQL). According to the Analytical Hierarchy Process (AHP), they were integrated with their percentage weights on liveability deriving from stakeholders interviews. Then, to investigate the liveability levels of local population, main statistics of liveability values were calculated per census section. Results include overall liveability indices at a local scale, and key statistics of liveability related to resident population. The work highlights the effectiveness of LISAM to assess local liveability and to deliver important information for policy-makers. LISAM approach opens the opportunity to integrate also ecosystem and urban disservices together with ES and US in liveability assessment to consider also the factors generated by landscape components that reduce the overall level of place liveability.

scholarly journals LISAM: an open source GIS-based model for liveability spatial assessment

2016 ◽  
Author(s):  
Sara Antognelli ◽  
Marco Vizzari
Keyword(s):  
Open Source ◽  
Landscape Planning ◽  
Local Population ◽  
Central Italy ◽  
Stakeholder Involvement ◽  
Assessment Model ◽  
Spatial Indices ◽  
Spatial Assessment ◽  
Decision Aiding ◽  
Viewshed Analysis

Ecosystem Services (ES) and Urban Services (US) influence place liveability in a comparable manner so that assessing landscape liveability considering both types of services can result effective for landscape planning and policy-making purposes. Considering that liveability is strongly dependent also on landscape perception by local population, stakeholder involvement results essential for a more coherent liveability assessment. In this study, a Spatial Multicriteria Decision Aiding (S-MCDA) approach guided the development of a LIveability Spatial Assessment Model (LISAM). Using a combination of GIS techniques (euclidean distance, kernel density estimation, network analysis, viewshed analysis), implemented in open-source geo-spatial software (QGIS, PostGIS and PostgreSQL), consistent and comparable ES and US spatial indices were calculated in a study area located in central Italy. These indices, according to the Analytical Hierarchy Process (AHP), were integrated with their percentage weights on liveability deriving from stakeholders interviews. Then, to investigate the liveability levels of local population, main statistics of liveability values were calculated per census section. Results include overall liveability indices at a local scale, and key statistics of liveability related to resident population. The work highlights the effectiveness of LISAM to assess local liveability and to deliver important information for policy-makers. Results show a strong, nonlinear correlation between local liveability and population density. Both the tendency to attribute higher importance to US than ES, and to the underestimation of ES quantity has emerged. The future integration in LISAM of ecosystem and urban disservices would be relevant to consider those landscape factors that reduce the overall level of place liveability.

scholarly journals LISAM: an open source GIS-based model for liveability spatial assessment

2016 ◽  
Author(s):  
Sara Antognelli ◽  
Marco Vizzari
Keyword(s):  
Open Source ◽  
Landscape Planning ◽  
Local Population ◽  
Central Italy ◽  
Stakeholder Involvement ◽  
Assessment Model ◽  
Spatial Indices ◽  
Spatial Assessment ◽  
Decision Aiding ◽  
Viewshed Analysis

Ecosystem Services (ES) and Urban Services (US) influence place liveability in a comparable manner. Consequently, assessing landscape liveability considering both types of services can result effective for landscape planning and policy-making purposes. Since liveability depends also on local population preferences and perceptions, stakeholder involvement results essential for a more coherent liveability assessment. In this study a Spatial Multicriteria Decision Aiding (S-MCDA) approach guided the development of a LIveability Spatial Assessment Model (LISAM). Using a combination of GIS techniques (Euclidean distance, kernel density estimation, network analysis, viewshed analysis), consistent and comparable ES and US spatial indices were calculated in a study area located in central Italy. The indices were implemented in open-source geo-spatial software (QGIS, PostGIS and PostgreSQL). According to the Analytical Hierarchy Process (AHP), they were integrated with their percentage weights on liveability deriving from stakeholders interviews. Then, to investigate the liveability levels of local population, main statistics of liveability values were calculated per census section. Results include overall liveability indices at a local scale, and key statistics of liveability related to resident population. The work highlights the effectiveness of LISAM to assess local liveability and to deliver important information for policy-makers. LISAM approach opens the opportunity to integrate also ecosystem and urban disservices together with ES and US in liveability assessment to consider also the factors generated by landscape components that reduce the overall level of place liveability.

Participatory GIS for Integrating Local and Expert Knowledge in Landscape Planning

2013 ◽  
pp. 1429-1447 ◽  
Author(s):  
Biancamaria Torquati ◽  
Marco Vizzari ◽  
Carlo Sportolaro
Keyword(s):  
Local Knowledge ◽  
Cultural Landscape ◽  
New Technologies ◽  
Expert Knowledge ◽  
Landscape Planning ◽  
Local Population ◽  
Central Italy ◽  
Participatory Gis ◽  
Geographic Mapping

This chapter describes the development and implementation of an operational method for integrating expert and local knowledge with new technologies for geographic mapping and communications, to enhance cultural landscape analysis and planning. Topics include the following aspects: a) analysis of type(s) of information required to construct a geographic information system (GIS), with the landscape as a common objective; b) method of implementing and integrating various types of expert knowledge in the GIS; c) method of collecting, organizing, and structuring local knowledge in the GIS; d) method of integrating expert with local knowledge; e) exploration of GIS functions. The main aim of this work is to examine the possibility of using participatory mapping methods and GIS for comparison and integration of multidisciplinary scientific expertise, local knowledge, and landscape project proposals. In particular, it involves specific methods for enhancing local features of vineyard landscapes through a participatory process developed with both vineyard entrepreneurs and the local population. The case study concerns the wine-growing area of Umbria, a region of central Italy.

scholarly journals Assessing Ecosystem and Urban Services for Landscape Suitability Mapping

2021 ◽  
Vol 11 (17) ◽  
pp. 8232
Author(s):  
Sara Antognelli ◽  
Marco Vizzari
Keyword(s):  
Sensitivity Analysis ◽  
Landscape Planning ◽  
Well Being ◽  
Assessment Model ◽  
Policy Makers ◽  
Spatial Indices ◽  
Urban Services ◽  
Suitability Assessment ◽  
Landscape Suitability ◽  
Different Characteristics

Ecosystem services (ES) and urban services (US) can comparably improve human well-being. Models for integrating ES and US with unexpressed and objective needs of defined groups of stakeholders may prove helpful for supporting decisions in landscape planning and management. In fact, they could be applied for highlighting landscape areas with different characteristics in terms of services provided. From this base, a suitability spatial assessment model (SUSAM) was developed and applied in a study area considering different verisimilar scenarios that policy makers could analyse. Each scenario is based on the prioritization of a set of services considering a defined group of stakeholders. Consistent and comparable ES and US indices of spatial benefiting areas (SBA) of services were calculated using GIS spatialization techniques. These indices were aggregated hierarchically with the relevance of services according to a spatial multicriteria decision analysis (S-MCDA). Results include maps for each scenario showing detailed spatial indices of suitability that integrate the local availability of SBA of ES and US, along with their relevance. The results were compared with known landscape classes identified in previous studies, which made it possible to interpret the spatial variation of suitability in the light of known landscape features. A complete sensitivity analysis was performed to test the sensitiveness of the model’s outputs to variations of judgements and their resistance to the indicators’ variation. The application of the model demonstrated its effectiveness in a landscape suitability assessment. At the same time, the sensitivity analysis and helping to understand the model behaviour in the different landscape classes also suggested possible solutions for simplifying the whole methodology.

Participatory GIS for Integrating Local and Expert Knowledge in Landscape Planning

2011 ◽  
pp. 378-396 ◽  
Author(s):  
Biancamaria Torquati ◽  
Marco Vizzari ◽  
Carlo Sportolaro
Keyword(s):  
Local Knowledge ◽  
Cultural Landscape ◽  
New Technologies ◽  
Expert Knowledge ◽  
Landscape Planning ◽  
Local Population ◽  
Central Italy ◽  
Participatory Gis ◽  
Geographic Mapping

This chapter describes the development and implementation of an operational method for integrating expert and local knowledge with new technologies for geographic mapping and communications, to enhance cultural landscape analysis and planning. Topics include the following aspects: a) analysis of type(s) of information required to construct a geographic information system (GIS), with the landscape as a common objective; b) method of implementing and integrating various types of expert knowledge in the GIS; c) method of collecting, organizing, and structuring local knowledge in the GIS; d) method of integrating expert with local knowledge; e) exploration of GIS functions. The main aim of this work is to examine the possibility of using participatory mapping methods and GIS for comparison and integration of multidisciplinary scientific expertise, local knowledge, and landscape project proposals. In particular, it involves specific methods for enhancing local features of vineyard landscapes through a participatory process developed with both vineyard entrepreneurs and the local population. The case study concerns the wine-growing area of Umbria, a region of central Italy.

scholarly journals Safety Knowledge and Changing Behavior in Agricultural Workers: an Assessment Model Applied in Central Italy

2018 ◽  
Vol 9 (2) ◽  
pp. 164-171 ◽  
Author(s):  
Massimo Cecchini ◽  
Roberto Bedini ◽  
Davide Mosetti ◽  
Sonia Marino ◽  
Serenella Stasi
Keyword(s):  
Central Italy ◽  
Assessment Model ◽  
Agricultural Workers ◽  
Safety Knowledge

Esso Highlands Limited—committed to world's best practice assessment processes for the PNG LNG Project

2011 ◽  
Vol 51 (2) ◽  
pp. 709
Author(s):  
Patti McNulty ◽  
Mark Mathieson
Keyword(s):  
Best Practice ◽  
Local Population ◽  
Team Work ◽  
Assessment Model ◽  
Employment Opportunities ◽  
Operations And Maintenance ◽  
Gas Conditioning ◽  
Technical Aptitude ◽  
Port Moresby ◽  
Practice Assessment

The PNG LNG Project is a major resource project in Papua New Guinea that should double the GDP of PNG and provide significant benefits to numerous remote, regional and metropolitan communities. Through a commitment to providing optimal training and employment opportunities for PNG nationals, Esso Highlands Limited is recruiting candidates from all over PNG to take up training and employment opportunities. One opportunity for PNG candidates is the Operations and Maintenance Technician Traineeship Program. This involves 18 months of preparatory training in Port Moresby and 12 months at advanced technical training facilities overseas followed by up to 24 months on the job training at the actual facility; either the Hides gas conditioning plant in the Southern Highlands or at the LNG plant outside Port Moresby in PNG. This program is structured to establish a highly-trained workforce of more than 150 technicians for key operational roles in the PNG LNG Project. A nationwide recruitment drive attracted more than 8,000 applicants. Although the scale of this response—in a country with poor socio-economic conditions and limited paid employment opportunities—was anticipated, the linguistic and cultural diversity of the candidates provided a major challenge for Esso Highlands. The challenge involved how to appropriately and fairly assess and select the required number of trainees from this massive pool of candidates. To address some of the assessment and selection needs, Esso Highlands Limited commissioned ValueEdge Consulting in light of their experience and expertise in delivering similar culturally appropriate assessment programs throughout Australia and southeast Asia. This presentation will provide an overview of the staged assessment model used to select the 76 most suitable candidates from the original 8,000 applicants for the first traineeship program, which commenced in Port Moresby in July 2010. The success of this recruitment program in a culturally, linguistically and educationally diverse country is highlighted by the fact that another significant-sized group of the candidates were retained by Esso Highlands Limited in internship positions—this is in addition to the 76 candidates selected for trainee positions. Due to the high-calibre talent pool attracted by this opportunity and assessed through this program, the extended pool of retained candidates enabled Esso Highlands Limited to meet their needs for the traineeships and also to identify suitable candidates to fulfill a range of their other training and employment opportunities. This presentation will outline details of the selection methods and tools used for the assessment of: training potential, technical aptitude, interpersonal skills, technical knowledge, team work, and individual competencies. The presentation also outlines a model for other green-field sites in countries where traditional recruitment methodologies are ineffective or culturally and linguistically biased against the local population.

scholarly journals From photo-geology to 3D geological models. An open source approach

2016 ◽  
Author(s):  
Michele Santangelo ◽  
Ivan Marchesini ◽  
Francesco Mirabella ◽  
Francesco Bucci ◽  
Mauro Cardinali ◽  
...  
Keyword(s):  
Open Source ◽  
Central Italy ◽  
Three Dimensional ◽  
3D Models ◽  
Preliminary Evaluation ◽  
Three Dimensional Modeling ◽  
Dimensional Modeling ◽  
Geological Models ◽  
Open Source Gis ◽  
Gis Environment

Three-dimensional modeling of geological bodies is a useful tool for multiple applications. Such tasks are usually accomplished starting from field-collected data, which typically suffer from intrinsic limitations such as accessibility constraints and punctuality of data collected. In this work, we explore the reliability of photo-geological analyses starting from aerial photo-interpretation in providing data useful to build up 3D geological models, and validate them using exploration wells data in a lignite rich area in Umbria, central Italy. The procedure that produces 3D models from photo-geological data is a three-step open source GIS procedure developed using python in GRASS GIS environment and GNU-Linux OS. We maintain that this procedure can have potential broad applications in Earth Sciences, including geological and structural analyses, up to the preliminary evaluation of potential reservoirs.

scholarly journals Urban-rural gradient detection using multivariate spatial analysis and landscape metrics

2013 ◽  
Vol 44 (2s) ◽  
Author(s):  
Marco Vizzari ◽  
Maurizia Sigura
Keyword(s):  
Spatial Analysis ◽  
Landscape Planning ◽  
Central Italy ◽  
Landscape Composition ◽  
Landscape Pattern Metrics ◽  
Multivariate Spatial Analysis ◽  
Urban Rural ◽  
Spatio Temporal ◽  
Landscape Gradient ◽  
Modern Landscape

The gradient approach allows for an innovative representation of landscape composition and configuration not presupposing spatial discontinuities typical of the conventional methods of analysis. Also the urban-rural dichotomy can be better understood through a continuous landscape gradient whose characterization changes accordingly to natural and anthropic variables taken into account and to the spatio-temporal scale adopted for the study. The research was aimed at the analysis of an urban-rural gradient within a study area located in central Italy, using spatial indicators associated with urbanization, agriculture and natural elements. A multivariate spatial analysis (MSA) of such indicators enabled the identification of urban, agricultural and natural dominated areas, as well as specific landscape transitions where the most relevant relationships between agriculture and other landscape components were detected. Landscapes derived from MSA were studied by a set of key landscape pattern metrics within a framework oriented to the structural characterization of the whole urban-rural gradient. The results showed two distinct sub-gradients: one urban-agricultural and one agricultural-natural, both characterized by different fringe areas. This application highlighted how the proposed methodology can represent a reliable approach supporting modern landscape planning and management.

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