Purpose. The differences in 20-year tree cover dynamics were analysed for the three experimental strata, which correspond to the former administrative districts and are located along the landscape ...socio-ecological gradient on the territory of Chernivtsi region.
Methods. System analysis, statistical analysis, geospatial database of the Global Forest Watch service were used.
Results. Three strata have been identified on the territory of Chernivtsi region to interpret the extremes of a socio-ecological gradient and the intermediate (transitional) zone. The tree cover dynamics was analysed on the studied strata (Traditional, Intermediate, and Intensive), which differ in terms of natural conditions, forest cover, and species composition, as well as varying degree of local communities’ dependency on the ecosystem services provided by forests. The mountain Traditional stratum is characterized by the predominance of logging over agricultural production; Intensive lowland stratum has a high degree of agricultural land use, developed agro-industrial complex and profitable farms. The Intermediate stratum combines both landscape complexes and economic features of the Traditional and Intensive strata. It was established that the loss of tree cover for the period from 2000 to 2021 amounted to 18% for the Traditional stratum, 17% for the Intermediate stratum and 7.7% for the Intensive stratum. The area of reforestation in 20 years at the Traditional stratum was 1,400 hectares with a loss of tree cover of 11,500 hectares; on the Intermediate – 1,250 hectares with a loss of tree cover of 10,800 hectares; on Intensive – 1,100 hectares with a loss of tree cover of 1,510 hectares.
Conclusions. The obtained results indicate the necessity of the local forest management systems revision taking into account the spatial features of the socio-ecological systems that has developed on the analyzed gradient.
The paper presents SIMILE (Italian acronym for “Integrated monitoring system for knowledge, protection and valorization of the subalpine lakes and their ecosystems), a cross-border Italian-Swiss ...project whose general objectives are the strengthening of the coordinated management of the water of the great subalpine lakes in the so-called Insubric region and the intensification of stakeholder participation in the processes of knowledge and monitoring of the water resource. The project fits the purpose of SDG 6 and involves administrations, monitoring agencies, universities and research centers, and citizens.SIMILE is a system where geospatial data, information, and techniques play a pivotal role. The system strongly benefits the information derived from the analysis of Sentinel 1 and Sentinel 3 imagery, in situ authoritative data, and user-contributed georeferenced data. A Business Intelligence (BI) platform, i.e. a web data-driven decision support system, will allow the integration, analysis, and synthesis of the information derived from the different types of data, heterogeneous in format, coordinate system, information content, and access method. The technologies that will be used are based on open software so as to guarantee the replicability and sustainability of the system.
In this paper we present the progress of a research that focuses on validating an intelligent geospatial system aimed to support decision-making in complex geographic scenarios, whereby current and ...prospective geospatial patterns could be generated (through which it may provide), with the support based on Collective Intelligence and Artificial Intelligence. The system mainly focuses on the organisation and management of resources linked to territories in order to support decision-making in the planning process.
Advances in Cloud computing technology and the availability of affordable and easy to use Cloud services are enabling a multitude of scientific applications to use these resources as primary or ...secondary computing infrastructure. The urban and built environment research domain is one area that can benefit greatly from Cloud computing. The global population growth and increase in the size and population of cities raise many challenges for governments, planners and researchers alike. The Australian Urban Research Infrastructure Network (AURIN—
http://www.aurin.org.au
) project has been tasked with developing an advanced platform (e-Infrastructure) across Australia to tackle these challenges. The platform leverages large-scale Cloud resources to provide federated data access to, at present over 1100 data sets from major and often definitive government and industry data-rich organisations, and for scalable data processing and visualisation. The original AURIN tools were developed using the object modelling system (OMS) and supported integrated workflows to define and enact/re-enact scientific processes. More recently the work has evolved to focus more on delivery of a workbench offering a rich range of tools delivered through an extensible workflow environment. In this paper, we provide the background to AURIN including the scientific drivers that are shaping the work and the realisation of the Cloud-based AURIN environment. We focus in particular on the workflow environment and show how it seamlessly utilizes the Cloud for urban research processes focused especially on data-intensive spatial analysis. We illustrate the utilisation of this workflow environment across a range of case studies reflecting urban research activities.
Ontologies are widely used, within and outside the geospatial context to support semantic search that is capable of returning suitable resources. Some large, heterogeneous earth observation systems ...that are currently being developed in a multi-thematic environment require the support of multiple ontologies. Furthermore, some of the systems under current development operate in a multi-lingual environment, and it is desirable that multiple languages be supported by the systems themselves.
This paper proposes a solution to this set of requirements using an architecture containing multiple and multilingual ontologies. Such ontologies are required to be related and the architecture described in this work, which adopts a spatial data infrastructure based on open geospatial standards, employs an algorithm for semantic search across the multiple multilingual ontologies aligned using the W3C Simple Knowledge Organization System (SKOS). It also provides an approach that is extendable by the addition of further ontologies if they are required for particular thematic purposes. A number of issues arose during phases of implementation, but the broad approach proved effective for supporting a large, heterogeneous, multilingual earth observation system.
L‐systems have been used in Computer Graphics, namely for modelling plants, as well as in a few experiments to model urban environments. However, the lack of geospatial awareness is a limitation and ...in spite of some developments like open L‐systems, that introduced the ability to communicate with the environment, there was a need for more flexibility. This paper presents Geospatial L‐systems, a new extension of L‐systems that incorporates geospatial awareness, and shows an application in the area of expeditious modelling of urban environments. A modelling system, named XL3D, generates virtual urban environments automatically from a XML based document that contains a modelling specification and accesses data sources in an interoperable way. The integration of geospatial L‐systems in this modelling system has increased the potential for automation and the potential to generate virtual urban environments with a higher level of detail and visual fidelity, with a lower level of complexity of the modelling processes. These facts are shown in a case study where a virtual urban environment, taken from an area in the Porto downtown, is generated by this solution.
Despite the large attention achieved by 5G localization in standardization bodies, the integration of 5G network function modules designed for localization lacks experimental work. Assessing the ...performance of these modules is essential to offering location services. In this work, we present our design, implementation and evaluation of the 5G Location Management Function (LMF), the key network function in the 5G core for localization services. Our implementation complies with the 3GPP standard and OpenAirInterface, the currently most advanced framework that implements a full 5G-New Radio stack. We show that we can extend the functionality of OpenAirInterface, enabling location services. Finally, we demonstrate that the performance of our implementation satisfies the 5G Key Performance Indicators required by 3GPP for localization.
Predicting interactions and contexts with context trees Thomason, Alasdair; Griffiths, Nathan; Sanchez, Victor
Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems,
10/2016
Conference Proceeding
Odprti dostop
Predicting the future actions of individuals from geospatial data has the potential to provide a basis for tailored services. This work presents the Predictive Context Tree (PCT), a new hierarchical ...classifier based on the Context Tree summary model 8. The PCT is capable of predicting the future contexts and locations of individuals to provide a basis for understanding not only where a user will be, but also what type of activity they will be performing. Through a comparison to established techniques, this paper demonstrates the applicability of the PCT by showing increased accuracies for location prediction, and increased utility through context prediction.
Usability engineering for mobile maps Looije, Rosemarijn; te Brake, Guido M.; Neerincx, Mark A.
Proceedings of the 4th international conference on mobile technology, applications, and systems and the 1st international symposium on Computer human interaction in mobile technology,
09/2007
Conference Proceeding
Many applications for mobile devices make use of maps, but because interaction with these maps can be laborious the applications are often hard to use. Therefore, the usability of maps on mobile ...devices must be improved. In this paper we review the research that has been done to solve technical, environmental, and social challenges of mobile map use. We will discuss interaction, visualization, and adaptive user support for maps on mobile devices. We propose usability engineering as the method that should be used when developing maps for mobile applications.