4 results on '"FoSS GIS"'
Search Results
2. MAPPING COVID-19 EPIDEMIC DATA USING FOSS
- Author
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Zatelli, P., Ciolli, M., Besana, A., and Gabellieri, N.
- Subjects
FOSS GIS ,Database ,COVID-19, health geography, FOSS GIS, WebGIS, Database ,COVID-19 ,health geography ,WebGIS - Abstract
The recognition of spatial and temporal patterns in the distribution of a pandemic plays a pivotal role in guiding policy approaches to its management, containment and elimination. For this purpose, a database has been built for the COVID-19 pandemic in the Trentino Province, in the eastern Italian alps, near the border between Italy and Austria. The database management system and the WebGIS mapping these data is based on Free and Open Source Software. The Data Base Management System (DBMS) runs on MySQL, available under the GNU General Public License, storing and processing geographic data. A custom procedure has been created to update the dataset, with the capability to import data from suitably formatted spreadsheets by an authenticated administrator. To ensure flexibility and responsiveness on desktop and mobile devices, the WebGIS has been created with a client-side approach, using the Leaflet and Bootstrap JavaScript language libraries, available with Open Source Licenses. These libraries, with additional custom scripts, create the user interface and render geographic data into maps. The exchange of data between the DBMS server and the client is performed using geojson tables. To protect the privacy of the patients, WebGIS users cannot access the source data even though maps and graphs can be downloaded as pictures. Geo-statistical analysis aimed at the detection of spatial and temporal patters is underway. more...
- Published
- 2023
Catalog
3. Soil Erosion and Land Degradation in Rural Environment: A Preliminary GIS and Remote-Sensed Approach
- Author
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Beniamino Murgante, Giuseppe Cillis, Antonio Lanorte, Valentina Santarsiero, Gabriele Nolè, Francesco Scorza, and Biagio Tucci
- Subjects
business.industry ,Environmental resource management ,Vegetation ,Land cover ,Universal Soil Loss Equation ,Remote sensing (archaeology) ,Environmental monitoring ,Land degradation ,Erosion ,Environmental science ,RUSLE ,FoSS GIS ,Arable land ,business - Abstract
The processes of land transformation related to soil erosion and land degradation are complex phenomena that require an approach as detailed and multidisciplinary as possible. In some Mediterranean inland areas, these issues seem to be very connected to the dynamics of transformation and abandonment of agricultural areas. In order to carry out this preliminary investigation for the assessment of dynamics and relationships between processes and land cover, an approach based on GIS and remote sensing has been applied. The study started with implementation of the Revised Universal Soil Loss Equation (RUSLE) model to calculate soil erosion on a monthly and annual basis. The resulting data were then processed through a Getis-Ord local autocorrelation index in order to produce a persistent erosion map. All datasets created were correlated with the cover classes that need more attention, i.e., arable land and post-cultivation vegetation area. All the techniques and methodologies, have been applied in a rural area of the Basilicata Region (South Italy) using exclusively a Free and Open Source Software (FoSS) GIS approach as it guarantees the possibility to perform a series of complex analyses in a simple and effective way so that they can be implemented in environmental monitoring actions and plans. more...
- Published
- 2021
4. Using GeoTools to Implement the Multi -Criteria Evaluation Analysis : Weighted Linear Combination Model
- Author
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Jamal-Uddeen, Salem and Jamal-Uddeen, Salem
- Abstract
Multi-Criteria Evaluation Analysis (MCEA) is a decision making method employed to solve optimization problems that require the evaluation of a set of criteria to build an optimal decision. Where MCEA is integrated with GIS, optimization problems with spatial aspects, such as finding the best location of a facility across an area, could be solved. MCEA is implemented through different criteria decision rules among of which is the Weighted Linear Combination (WLC) which has five different phases: 1) criteria definition, 2) criteria normalization, 3) weights definition, 4) criteria weighting, and 5) weighted criteria sum-overlaying. Free and Open Source GIS Software (FOSS GIS) is getting more popular. Indicators on this popularity include: 1) the number of governmentally funded projects, 2) the number of downloads, 3) and the increasing number of use cases of open source GIS software. Some governments have even decided to replace their proprietary software with FOSS software. Implementation of MCEA models in GIS software varied among loose-coupling, tight-coupling, and full-integration. In loose-coupling, GIS and MCEA are coupled through a file exchange mechanism. In tight-coupling, both systems share a common interface. In full-integration, custom programming scripts could be written to implement different MCEA tasks and models. Previous studies showed that most GIS software have limited capabilities to perform MCEA except for IDRISI, Common GIS, ILWIS, and TNT-GIS. Among of them, only ILWIS is an open source software distributed under GPL license. In this thesis, a desktop computer application, MC-Analyst, has been developed using GeoTools, a Java open source GIS software library, Java SE 1.7, and NetBeans IDE 7.3 to implement MCEA-WLC model. The milestone works of the thesis included: 1) The feasibility of using FOSS in general and FOSS GIS in specific was researched, 2) A survey of the literature that researched previous efforts and implementations for integrating, Optimization problems exist in many disciplines. Regardless of the field in which the optimal solution is sought, all optimization problems share a common nature; seeking the best possible solution that must meet a set of criteria which are defined by a group of experts or professional shareholders in the field of the optimization problem. Therefore, by combining an optimal solution seeking methodology (Evaluation Analysis) and the multiple criteria of the problem (Multi-Criteria), a new term emerged, Multi-Criteria Evaluation Analysis (MCEA). MCEA is used with Geographic Information Systems (GIS is an information system that stores, processes, analyzes, and presents geographic information) to solve optimization problems that have a spatial nature such as finding optimal locations for some kind of facility or activity. Some implementation of MCEA models have existed in some GIS packages. IDRISI, Common GIS, ILWIS, and TNT-GIS are major GIS software that provided some kind of implementation of MCEA models. Among the four GIS software, only ILWIS is a Free and Open Source Software (FOSS). FOSS GIS is getting more popular. Indicators on this popularity were listed in the thesis. As FOSS GIS is getting more popular, a great potential of MCEA implementation is found in FOSS GIS. In this thesis, a desktop computer application, MC-Analyst, has been developed using GeoTools, an open source GIS development kit, to implement a MCEA model. MC-Analyst benefited from GeoTools's strong support for basic GIS functions that made MCEA model implementation easier. To test MC-Analyst, a previous case study that investigated a spatial optimization problem to evaluate Colorado landscape to locate best sites for solar energy farms in Colorado was employed. The different outputs that resulted from different inputs to MC-Analyst were analyzed and found as expected. The study demonstrated FOSS integration and concluded that developing a fully-integrated and competent spatial decision suppor more...
- Published
- 2014
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