Phaedon Kyriakidis

Cyprus University of Technology · Department of Civil Engineering and Geomatics

To date, several epidemiological agent-based models have been developed to study the spread of the highly infectious coronavirus (SARS-COV) disease in different countries. However, no extensive effort has been implemented for the Republic of Cyprus. In this research, we present the design framework of the EPIMO-LCA agent-based model that respects t...

This paper aims to introduce the concept and objectives of a recently supported European project entitled “Geomatics and Civil Engineering Innovative Research on Heritage”, in short ENGINEER. The ENGINEER project visions to enhance and extend inter-departmental multidisciplinary research activities of the Department of Civil Engineering & Geomatics...

Offshore wind is expected to play a key role in future energy systems. Wind energy resource studies often call for long-term and spatially consistent datasets to assess the wind potential. Despite the vast amount of available data sources, no current means can provide relevant sub-daily information at a fine spatial scale (~1 km). Synthetic apertur...

Seaborne movement underpins frontier research in prehistoric archaeology, including water-crossings in the context of human dispersals, and island colonisation. Yet, it also controls the degree of interaction between locations, which in turn is essential for investigating the properties of maritime networks. The onset of the Holocene (circa 12,000...

Groundwater salinization is considered to be one of the most severe and complex phenomena affecting coastal regions worldwide, occurring when high concentrations of water-soluble salts are present in groundwater systems. Geostatistics is a branch of statistics used to analyze and predict the spatio-temporal variability of such complex phenomena. In...

The Tarsus coastal plain (TCP) is an economically important region situated between the fertile fluvio-deltaic plains of two rivers, Deliçay and Tarsus (Mersin, SE Turkey), where anthropogenic activities (e.g., domestic, agricultural and industrial) are very intense. Thick clay-silt layers or lenses are present in the TCP, resulting in semi-confine...

The impact of the pandemic caused by COVID-19 on urban pollution in our cities is a proven fact, although its mechanisms are not known in great detail. The change in urban mobility patterns due to the restrictions imposed on the population during lockdown is a phenomenon that can be parameterized and studied from the perspective of spatial analysis...

Offshore wind offers an excellent opportunity for domestic renewable energy production with a vast potential for future energy systems. Offshore wind resource assessment, however, can be challenging. Remote sensing data e.g., Synthetic Aperture Radar (SAR), provide high spatial resolution detailed information on the spatial variability of offshore...

The implementation of Maritime Spatial Planning (MSP) in each European country aims to bring together different public authorities and stakeholders to sustainably organize and map marine and coastal resources. The first step for the development of MSP was achieved successfully for Cyprus, through the implementation of the first cross-border project...

Regional offshore wind assessment studies typically rely on forecasts from Numerical Weather Prediction (NWP) models. NWP products are typically available at fine temporal resolutions (e.g., on an hourly basis) but relatively coarse spatial resolutions (e.g., on the order of several kilometers) to be used directly for more detailed local assessment...

Geography has long sought to explain spatial relationships between social and physical processes, including the spread of infectious diseases, within the context of modelling human-environment interactions. The spread of the recent COVID-19 pandemic, and its devastating effects on human activity and welfare, represent but examples of such complex h...

The ERATOSTHENES CoE aspires to actively contribute to the European Research Area ( priorities in Atmosphere and Climate, Resilient Societies and Big Earth Data Analytics, as well as to become the reference Earth Observation/Geoinformation Centre for research and innovation in the Eastern Mediterranean, Middle East and North Africa ( region The ECo...

Editors: Andrés Espejo; Ellie Peneva-Reed

This research poster's core subject is Human Security and the need for the empowerment and resilience of individuals. In that direction, we propose the development of the GeoSpatioTemporal Profile (GeoSTeP) assessment tool. The GeoSTeP methodology is based on: the INFORM Risk Index – a multi-layered and structured model, measuring 54 different in...

Geography has long sought to explain spatial relationships between social and physical processes, including the spread of infectious diseases, within the context of modelling human-environment interactions. The spread of the recent COVID-19 pandemic, and its devastating effects on human activity and welfare, represent but examples of such complex h...

Lacking coastal and offshore wind speed time series of sufficient length, reanalysis data and wind speed models serve as the primary sources of valuable information for wind power management. In this study, long-length observational records and modelled data from Uncertainties in Ensembles of Regional Re-Analyses system are collected, analyzed and...

This paper presents how the EXSELSIOR H2020 Teaming project will support the management and monitoring of the cultural heritage domain through its research and innovation agenda within the Eastern Mediterranean, Middle East, and North Africa (region known as EMMENA). The pressing need for protecting the cultural heritage assets is highlighted throu...

Monitoring invasive species distribution and prevalence is important, but direct field-based assessment is often impractical. In this paper, we introduce and validate a cost-effective method for mapping understory invasive plant species. We utilized Landsat imagery, spectral mixture analysis (SMA) and a maximum entropy (Maxent) modeling framework t...

This paper presents the significance and importance of promoting the benefits of Earth Observation when implemented in ‘secondary’ and ‘higher education’ in Cyprus schools. Firstly, examples of how Earth observation is used in other countries for the secondary education such as Germany and China and how ESA through Earth Observation education mater...

Dense time-series with coarse spatial resolution (DTCS) and sparse time-series with fine spatial resolution (STFS) data often provide complementary information. To make full use of this complementarity, this paper presents a novel spatiotemporal fusion model, the spatial time-series geostatistical deconvolution/fusion model (STGDFM), to generate sy...

The poster is available online at EGU website: https://meetingorganizer.copernicus.org/EGU2020/EGU2020-19782.html | Particle flows animations are available at SaRoCy's website: http://sarocy.cut.ac.cy/news/particles-flow-animations/ | Maritime connectivity between Cyprus and other Eastern Mediterranean coastal regions on the mainland constitutes a...

The smart city notion provides an integrated and systematic answer to challenges facing cities today. Smart city policy makers and technology vendors are increasingly stating their interest in human-centered smart cities. On the other hand, in many studies smart city policies bring forward a one-size-fits-all type of recommendation for all areas in...

This book includes the full research papers accepted by the scientific programme committee for the 22nd AGILE Conference on Geographic Information Science, held in June 2019 at Cyprus University of Technology, Limassol, Cyprus. It is intended primarily for professionals and researchers in geographic information science, as well as those in related...

A geostatistical framework for spatial quality assessment framework of coarse resolution remote sensing products is presented that can account for either the scale difference or the uncertainty of reference value prediction at coarse resolutions. A set of multiple reference field realizations is first generated at a fine spatial resolution using ge...

Recent advances in Unmanned Aerial Vehicle (UAV), in photogrammetric software and the miniaturisation of sensors lead topographers to embed the Unmanned Aerial System - Structure form Motion (UAS-SfM) pipeline to field work for earth measurements and DTM creation. This study attempts to develop a tool and examine a methodology to produce Digital Te...

Accessibility is an important determinant of socio-economic development at all spatial levels because it critically affects the operations and success of economic activities. Measures of accessibility are frequently used to support development policy-making and spatial planning. The spatial sciences provide several quantitative approaches to assess...

The original version of this Chapter in the book was published incorrectly with the Front and Last name interchanged for the second, third and fourth contributor. These errors have been updated as below

The impact of medium-sized southern European cities challenges on the smartness of the city is a quite interesting case that is not quite analyzed yet. Our scientific objective is to find a simple understandable model linking human smart characteristics to a group of socio-demographic and urban environment indices, applied to the case of Limassol U...

MedSTACH is the acronym for an AGILE-supported Teaming Phase 1 project (one year duration) aiming to design a Cyprus-based Eastern Mediterranean Science and Technology Centre of Excellence for Archaeology and Cultural Heritage (CH).

MedSTACH is the acronym for an AGILE-supported Teaming Phase 1 project (one year duration) aiming to design a Cyprus-based Eastern Mediterranean Science and Technology Centre of Excellence for Archaeology and Cultural Heritage (CH). MedSTACH’s mission encompasses the development of the necessary scientific and technological environment for advancin...

Cyprus and the Eastern Mediterranean region are hosts to a unique Cultural Heritage (CH) wealth, whose valorization and contribution to sustainable development calls for concentrated efforts with regards to CH documentation, scientific study, monitoring, protection, and promotion. Most traditional practices addressing the aforementioned requirement...

In earth and environmental sciences applications, uncertainty analysis regarding the outputs of models whose parameters are spatially varying (or spatially distributed) is often performed in a Monte Carlo framework. In this context, alternative realizations of the spatial distribution of model inputs, typically conditioned to reproduce attribute va...

The paper presents a computationally efficient meta-modeling approach to spatially explicit uncertainty and sensitivity analysis in a cellular automata (CA) urban growth and land-use simulation model. The uncertainty and sensitivity of the model parameters are approximated using a meta-modeling method called polynomial chaos expansion (PCE). The pa...

This paper introduces and tests a geostatistical spatiotemporal hurdle approach for predicting the spatial distribution of future deforestation (one to three years ahead in time). The method accounts for neighborhood effects by modeling the auto-correlation of occurrence and intensity of deforestation, using a spatiotemporal geostatistical specific...

With their increasing availability and quantity, remote sensing images have become an invaluable data source for geographic research and beyond. The detection and analysis of spatial patterns from such images and other kinds of geographic fields, constitute a core aspect of Geographic Information Science. Per-cell analysis, where one cell’s charact...

This paper investigates the benefits of integrating coarse resolution satellite-derived precipitation estimates with quasi-point rain gauge data for generating a fine spatial resolution precipitation map product. To integrate the two precipitation data sources, a geostatistical downscaling and integration approach is presented that can account for...

Geostatistics is a subfield of spatial statistics offering a comprehensive statistical framework for analyzing and interpreting patterns in spatial data, for integrating measurements from different sources and resolutions with the objective of spatial interpolation (prediction) and spatial uncertainty assessment. Geostatistical applications appear...

Introduction The Cancer Registry of Crete is a regional population database that collects cancer morbidity/mortality data along with several risk factors. The current study assessed the geographical variation of lung cancer among ever and never smokers in Crete during the last 20 years. Material and Methods Lung cancer patient records (1992–2013)...

Examining natural hazards responsible for cultural heritage damages all over Europe, especially over large or remote areas is extremely difficult, expensive and time consuming. There is a need identify and respond to natural hazards before they create irreparable damage to cultural heritage sites. The PROTHEGO project uses radar interferometry to m...

This article presents a geostatistical approach for downscaling precipitation products from passive microwave satellites with geostationary Meteorological Satellite observations. More precisely, the Advanced Microwave Scanning Radiometer 2 (AMSR2) precipitation (daily level 3 product) with 0.25° spatial resolution and the Communication, Ocean and M...

The aim of this paper is to explore the concept of “smart” cities from the perspective of inclusive community participation and Geographical Information Systems (GIS).The concept of a smart city is critically analyzed, focusing on the power/knowledge implications of a “bottom-up” approach in planning and how GIS could encourage community participat...

Despite growing research into the socio-economic aspects of vulnerability [1] – [4] , relatively little work has linked population dynamics with climate change beyond the complex relationship between migration and climate change [5] . It is likely, however, that most people experience climate change in situ , so understanding the role of pop...

Traditional classification accuracy assessments based on summary statistics from a confusion matrix furnish a global (location invariant) view of classification accuracy. To estimate the spatial distribution of classification accuracy, a geostatistical integration approach is presented in this paper. Indicator kriging with local means is combined w...

The importance of parks existing in urban environments is widely recognized, due to the range of ecosystem services which they provide. It is perceptible that these services are inextricably linked to the health of urban park ecosystems, mainly because a fully functional ecosystem is more resistant and resilient to environmental pressures. In gener...

The importance of parks existing in urban environments is widely recognized, due to the range of ecosystem services which they provide. It is perceptible that these services are inextricably linked to the health of urban park ecosystems, mainly because a fully functional ecosystem is more resistant and resilient to environmental pressures. In gener...

The importance of parks existing in urban environments is widely recognized, due to the range of ecosystem services which they provide. It is perceptible that these services are inextricably linked to the health of urban park ecosystems, mainly because a fully functional ecosystem is more resistant and resilient to environmental pressures. In gener...

This paper proposes an approach for grouping solutions in cartographic design optimization problems, such as the placement of map insets, using mathematical morphology operators. More specifically, we propose an efficient methodology to assign provisional labels to groups of points denoting locations where favorable conditions exist, through the us...

Despite growing research into the socioeconomic aspects of vulnerability [1-3], relatively little work has linked population dynamics with climate change. Understanding the role of population dynamics remains critical. How a given number of people, in a given location and with varying population characteristics may exacerbate or mitigate the impact...

Mapping of climatic variables is essential for a variety of applications, such as hydrology, agriculture, disease monitoring and infrastructure design. In this study we estimate (interpolate) the spatial distribution of mean monthly temperature based on 52 meteorological stations available from the network of the Hellenic National Meteorological Se...

The delineation of ocean regions with similar water quality characteristics is an all important component of the study of marine environment with direct implications for management actions. Marine eutrophication constitutes an important facet of ocean water quality, and pertains to the natural process representing excessive algal growth due to nutr...

Geostatistical simulation using controlled or stratified sampling methods, namely Latin hypercube and stratified likelihood sampling, are capable of generating representative realizations from (log)Gaussian random fields, i.e., spanning efficiently the range of values corresponding to the (log)Gaussian multivariate probability distribution. Althoug...

This paper explores how population estimates in three Tanzanian districts might vary with the utilization of fine-scale population estimates. Preliminary research suggests that the use of coarse aggregated values such as census data at the district level instead of spatially varying values may hinder effective decision analysis in situations that c...

Η ανάλυση και η ερμηνεία χωρικών ή/και χωροχρονικών προτύπων σε γεωχωρικά δεδομένα κατέχει σημαίνουσα θέση στη Γεωγραφική Ανάλυση και τη Γεωπληροφορική (Κουτσόπουλος, 2009, Longley et al., 2011). Προς αυτή την κατεύθυνση, η γεωστατιστική και η χωρική στατιστική παρέχουν ένα γενικό αναλυτικό πλαίσιο για τη μοντελοποίηση χωρικών ή/και χωροχρονικών πρ...

A small, but growing, number of flux towers in urban environments measure surface–atmospheric exchanges of carbon dioxide by the eddy covariance method. As in all eddy covariance studies, obtaining annual sums of urban CO2 exchange requires imputation of data gaps due to low turbulence and non-stationary conditions, adverse weather, and instrument...

Global and local (site specific) multivariate variogram and madogram measures of attribute spatial (dis)similarity are linked to multivariate extensions of Geary’s and Gini’s indices of spatial association. These measures are then employed for elucidating spatiotemporal patterns in monthly sea surface temperature and chlorophyll-a concentration dat...

The complexity of modern scientific research requires advanced approaches to handle and analyse rich and dynamic data. Organizations such as hospitals, hold a great number of health datasets which may consist of many individual records. Artificial Intelligence ethodologies incorporate approaches for knowledge retrieval and pattern discovery, which...

Models of spatial transition probabilities, or equivalently, transiogram models have been recently proposed as spatial continuity measures in categorical fields. In this paper, properties of transiogram models are examined analytically, and three important findings are reported. Firstly, connections between the behaviors of auto-transiogram models...

The complexity of modern scientific research requires advanced approaches to handle and analyse rich and dynamic data. Organizations such as hospitals, hold a great number of health datasets which may consist of many individual records. Artificial Intelligence methodologies incorporate approaches for knowledge retrieval and pattern discovery, which...

Continuous topography from Digital Elevation Model (DEM) data is frequently segmented into terrain classes based on local morphological characteristics of terrain elevation, e.g., local slope gradient and convexity. The resulting classes are often used as proxies for the average shear wave velocity up to 30 m, and the determination of ground types...

Two methods for generating representative realizations from Gaussian and lognormal random field models are studied in this paper, with term representative implying realizations efficiently spanning the range of possible attribute values corresponding to the multivariate (log)normal probability distribution. The first method, already established in...