The erosion potential model was applied to estimate the soil erosion status of rural settlements ... more The erosion potential model was applied to estimate the soil erosion status of rural settlements during the years 1971 and 2011. We used univariate and bivariate local Moran’s I indices to detect and visualize the spatial clustering of settlements with respect to changes in erosion intensity and agricultural land use, as well as their mutual spatial correlation. The study area was differentiated into four statistically significant clusters using the calculated bivariate local Moran’s I indices. The statistical analysis examined the two largest clusters, i.e., the high–high and low–low clusters, and the results of the research indicate that the first four principal components explained 70.50% and 73.47% of the total variance, respectively. In the high–high cluster, the low rates of erosion reduction (average Index Z = 98) in the most significant types of rural settlements were determined according to demographic indicators (i.e., the higher population vitality and population density, the smaller share of the old population and the lower average age of the population) and the large proportion of arable land and Neogene sediments. In the low–low cluster, high erosion reduction rates were detected (average index Z = 64). In this cluster, the more statistically significant influence of natural conditions in combination with demographic–agrarian processes (i.e., the larger share of the old population, the higher average age of the population, the lower vitality index and deagrarization) were decisive factors in changing erosion intensity.
Techniques for evaluating similarities between categorical maps obtained by different spatial mod... more Techniques for evaluating similarities between categorical maps obtained by different spatial modeling techniques or representing similar space in different time instances are still developing. This paper reviews a current approach for assessing the similarity in land use maps that are used in city planning processes. The performance of recently designed kappa location and kappa histo measures as well as fuzzy set map comparison approach were tested on a case study area that comprises three cities of Belgrade's municipalities with different urban characteristics. By assessing similarities between the land use map of the Master plan designed for the year 2021 and the map representing the currently observed land use conditions, the level of realized planned activities as well as the level of discrepancy from the Master plan could be evaluated
The behavior of reinforced concrete under long-term loading is an important topic when designing ... more The behavior of reinforced concrete under long-term loading is an important topic when designing concrete structures. Creep and shrinkage of concrete and long-term deflections of concrete structures, mainly reinforced concrete beams, have been studied for many decades but because of the long-term nature of these tests, existing experiments are relatively scarce. More importantly, there are significant challenges when carrying out these tests. These include achieving optimal beam design to ensure a realistic stress distribution with a developed cracked state, measuring deflections from self-weight, adequately measuring elastic deflections and strains, and instantaneously applying the imposed load. The problem is exacerbated with the advent of sustainable structural concretes containing recycled and waste materials—green concretes; they possess specific properties and experimental results for these concretes are even scarcer.
This article presents a taxonomy and represents a repository of open problems in computing for nu... more This article presents a taxonomy and represents a repository of open problems in computing for numerically and logically intensive problems in a number of disciplines that have to synergize for the best performance of simulation-based feasibility studies on nature-oriented engineering in general and civil engineering in particular. Topics include but are not limited to: Nature-based construction, genomics supporting nature-based construction, earthquake engineering, and other types of geophysical disaster prevention activities, as well as the studies of processes and materials of interest for the above. In all these fields, problems are discussed that generate huge amounts of Big Data and are characterized with mathematically highly complex Iterative Algorithms. In the domain of applications, it has been stressed that problems could be made less computationally demanding if the number of computing iterations is made smaller (with the help of Artificial Intelligence or Conditional Al...
This paper presents a transfer learning approach to the crop classification problem based on time... more This paper presents a transfer learning approach to the crop classification problem based on time series of images from the Sentinel-2 dataset labeled for two regions: Brittany (France) and Vojvodina (Serbia). During preprocessing, cloudy images are removed from the input data, the time series are interpolated over the time dimension, and additional remote sensing indices are calculated. We chose TransformerEncoder as the base model for knowledge transfer from source to target domain with French and Serbian data, respectively. Even more, the accuracy of the base model with the preprocessing step is improved by 2% when trained and evaluated on the French dataset. The transfer learning approach with fine-tuning of the pre-trained weights on the French dataset outperformed all other methods in terms of overall accuracy 0.94 and mean class recall 0.907 on the Serbian dataset. Our partially fine-tuned model improved recall of crop types that were poorly classified by the base model. In t...
Soil organic carbon (SOC) is a vital component for sustainable agricultural production. This rese... more Soil organic carbon (SOC) is a vital component for sustainable agricultural production. This research investigates the transfer learning-based neural network model to improve classical machine learning estimation of SOC values from other geochemical and physical soil parameters. The results on datasets based on LUCAS data from 2015 showed that the Instance-based transfer learning model captured the valuable information contained in different source domains (cropland and grassland) of soil samples when estimating the SOC values in arable cropland areas. The effects of using transfer learning are more pronounced in the case of different source (grassland) and target (cropland) domains. Obtained results indicate that the transfer learning (TL) approach provides better or at least equal output results compared to the classical machine learning procedure. The proposed TL methodology could be used to generate a pedotransfer function (PTF) for target domains with described samples and unkn...
MeteoSerbia1km is the first daily gridded meteorological dataset at a 1-km spatial resolution acr... more MeteoSerbia1km is the first daily gridded meteorological dataset at a 1-km spatial resolution across Serbia for the 2000–2019 period. The dataset consists of five daily variables: maximum, minimum and mean temperature, mean sea level pressure, and total precipitation. Besides daily summaries, it contains monthly and annual summaries, daily, monthly, and annual long term means (LTM). Daily gridded data were interpolated using the Random Forest Spatial Interpolation methodology based on using nearest observations and distances to them as spatial covariates, together with environmental covariates. Complete script in R and datasets used for modelling, tuning, validation, and prediction of daily meteorological variables are available here. If you discover a bug, artifact or inconsistency in the MeteoSerbia1km maps, or if you have a question please use this channel. File naming convention of .zip files and containing MeteoSerbia1km files: Daily summaries per year: day_<em>yyyy</e...
Various methods for the calculation of the terrain slope used in the gridded DTMs are presented i... more Various methods for the calculation of the terrain slope used in the gridded DTMs are presented in this work. Some of the results obtained from research based on the efficiency of the application of these methods are also reported.U radu su prikazane metode računanja nagiba terena koje se koriste u DMT koji imaju gridnu strukturu. Prikazani su neki rezultati dosadašnjih istraživanja u svetu na polju efikasnosti primene ovih metoda
The latest applications of hedonic dwelling price models have included recent advances in spatial... more The latest applications of hedonic dwelling price models have included recent advances in spatial analysis that control for spatial dependence and heterogeneity. The study of spatial aspects of hedonic modelling pertains to spatial econometrics, which is relevant to this study because it clearly accounts for the influence and peculiarities related by space in real estate price modeling analysis.
This document reports on the development of the first set of APOLLO training material within the ... more This document reports on the development of the first set of APOLLO training material within the context of the Task 6.2 Pilot training and execution. The current set of training material reflects the functionalities of APOLLO platform beta version and supports execution of beta phase of the pilots.
This document reports on the development of a detailed plan on APOLLO pilot execution and methodo... more This document reports on the development of a detailed plan on APOLLO pilot execution and methodology that will be followed in order to evaluate APOLLO platform. The methodology includes using evaluation criteria, namely user experience, user acceptance and benefits of using the APOLLO services that will be measured by a number of indicators. According to the adopted User Centered Design approach, the evaluation is a part of the development process aimed to ensure that the optimal final product ready for commercialization is delivered. Pilot will be executed in three phases: alpha, beta and pilot. The end users will be involved in trials and testing the platform in each of the phases while the platform itself will be gradually improved from one phase to the next according to the users' feedback and evaluation data. The report also defines the roles and responsibilities of the project partners, plan for training material design, ethical and legal issues and potential risks and mi...
The erosion potential model was applied to estimate the soil erosion status of rural settlements ... more The erosion potential model was applied to estimate the soil erosion status of rural settlements during the years 1971 and 2011. We used univariate and bivariate local Moran’s I indices to detect and visualize the spatial clustering of settlements with respect to changes in erosion intensity and agricultural land use, as well as their mutual spatial correlation. The study area was differentiated into four statistically significant clusters using the calculated bivariate local Moran’s I indices. The statistical analysis examined the two largest clusters, i.e., the high–high and low–low clusters, and the results of the research indicate that the first four principal components explained 70.50% and 73.47% of the total variance, respectively. In the high–high cluster, the low rates of erosion reduction (average Index Z = 98) in the most significant types of rural settlements were determined according to demographic indicators (i.e., the higher population vitality and population density, the smaller share of the old population and the lower average age of the population) and the large proportion of arable land and Neogene sediments. In the low–low cluster, high erosion reduction rates were detected (average index Z = 64). In this cluster, the more statistically significant influence of natural conditions in combination with demographic–agrarian processes (i.e., the larger share of the old population, the higher average age of the population, the lower vitality index and deagrarization) were decisive factors in changing erosion intensity.
Techniques for evaluating similarities between categorical maps obtained by different spatial mod... more Techniques for evaluating similarities between categorical maps obtained by different spatial modeling techniques or representing similar space in different time instances are still developing. This paper reviews a current approach for assessing the similarity in land use maps that are used in city planning processes. The performance of recently designed kappa location and kappa histo measures as well as fuzzy set map comparison approach were tested on a case study area that comprises three cities of Belgrade's municipalities with different urban characteristics. By assessing similarities between the land use map of the Master plan designed for the year 2021 and the map representing the currently observed land use conditions, the level of realized planned activities as well as the level of discrepancy from the Master plan could be evaluated
The behavior of reinforced concrete under long-term loading is an important topic when designing ... more The behavior of reinforced concrete under long-term loading is an important topic when designing concrete structures. Creep and shrinkage of concrete and long-term deflections of concrete structures, mainly reinforced concrete beams, have been studied for many decades but because of the long-term nature of these tests, existing experiments are relatively scarce. More importantly, there are significant challenges when carrying out these tests. These include achieving optimal beam design to ensure a realistic stress distribution with a developed cracked state, measuring deflections from self-weight, adequately measuring elastic deflections and strains, and instantaneously applying the imposed load. The problem is exacerbated with the advent of sustainable structural concretes containing recycled and waste materials—green concretes; they possess specific properties and experimental results for these concretes are even scarcer.
This article presents a taxonomy and represents a repository of open problems in computing for nu... more This article presents a taxonomy and represents a repository of open problems in computing for numerically and logically intensive problems in a number of disciplines that have to synergize for the best performance of simulation-based feasibility studies on nature-oriented engineering in general and civil engineering in particular. Topics include but are not limited to: Nature-based construction, genomics supporting nature-based construction, earthquake engineering, and other types of geophysical disaster prevention activities, as well as the studies of processes and materials of interest for the above. In all these fields, problems are discussed that generate huge amounts of Big Data and are characterized with mathematically highly complex Iterative Algorithms. In the domain of applications, it has been stressed that problems could be made less computationally demanding if the number of computing iterations is made smaller (with the help of Artificial Intelligence or Conditional Al...
This paper presents a transfer learning approach to the crop classification problem based on time... more This paper presents a transfer learning approach to the crop classification problem based on time series of images from the Sentinel-2 dataset labeled for two regions: Brittany (France) and Vojvodina (Serbia). During preprocessing, cloudy images are removed from the input data, the time series are interpolated over the time dimension, and additional remote sensing indices are calculated. We chose TransformerEncoder as the base model for knowledge transfer from source to target domain with French and Serbian data, respectively. Even more, the accuracy of the base model with the preprocessing step is improved by 2% when trained and evaluated on the French dataset. The transfer learning approach with fine-tuning of the pre-trained weights on the French dataset outperformed all other methods in terms of overall accuracy 0.94 and mean class recall 0.907 on the Serbian dataset. Our partially fine-tuned model improved recall of crop types that were poorly classified by the base model. In t...
Soil organic carbon (SOC) is a vital component for sustainable agricultural production. This rese... more Soil organic carbon (SOC) is a vital component for sustainable agricultural production. This research investigates the transfer learning-based neural network model to improve classical machine learning estimation of SOC values from other geochemical and physical soil parameters. The results on datasets based on LUCAS data from 2015 showed that the Instance-based transfer learning model captured the valuable information contained in different source domains (cropland and grassland) of soil samples when estimating the SOC values in arable cropland areas. The effects of using transfer learning are more pronounced in the case of different source (grassland) and target (cropland) domains. Obtained results indicate that the transfer learning (TL) approach provides better or at least equal output results compared to the classical machine learning procedure. The proposed TL methodology could be used to generate a pedotransfer function (PTF) for target domains with described samples and unkn...
MeteoSerbia1km is the first daily gridded meteorological dataset at a 1-km spatial resolution acr... more MeteoSerbia1km is the first daily gridded meteorological dataset at a 1-km spatial resolution across Serbia for the 2000–2019 period. The dataset consists of five daily variables: maximum, minimum and mean temperature, mean sea level pressure, and total precipitation. Besides daily summaries, it contains monthly and annual summaries, daily, monthly, and annual long term means (LTM). Daily gridded data were interpolated using the Random Forest Spatial Interpolation methodology based on using nearest observations and distances to them as spatial covariates, together with environmental covariates. Complete script in R and datasets used for modelling, tuning, validation, and prediction of daily meteorological variables are available here. If you discover a bug, artifact or inconsistency in the MeteoSerbia1km maps, or if you have a question please use this channel. File naming convention of .zip files and containing MeteoSerbia1km files: Daily summaries per year: day_<em>yyyy</e...
Various methods for the calculation of the terrain slope used in the gridded DTMs are presented i... more Various methods for the calculation of the terrain slope used in the gridded DTMs are presented in this work. Some of the results obtained from research based on the efficiency of the application of these methods are also reported.U radu su prikazane metode računanja nagiba terena koje se koriste u DMT koji imaju gridnu strukturu. Prikazani su neki rezultati dosadašnjih istraživanja u svetu na polju efikasnosti primene ovih metoda
The latest applications of hedonic dwelling price models have included recent advances in spatial... more The latest applications of hedonic dwelling price models have included recent advances in spatial analysis that control for spatial dependence and heterogeneity. The study of spatial aspects of hedonic modelling pertains to spatial econometrics, which is relevant to this study because it clearly accounts for the influence and peculiarities related by space in real estate price modeling analysis.
This document reports on the development of the first set of APOLLO training material within the ... more This document reports on the development of the first set of APOLLO training material within the context of the Task 6.2 Pilot training and execution. The current set of training material reflects the functionalities of APOLLO platform beta version and supports execution of beta phase of the pilots.
This document reports on the development of a detailed plan on APOLLO pilot execution and methodo... more This document reports on the development of a detailed plan on APOLLO pilot execution and methodology that will be followed in order to evaluate APOLLO platform. The methodology includes using evaluation criteria, namely user experience, user acceptance and benefits of using the APOLLO services that will be measured by a number of indicators. According to the adopted User Centered Design approach, the evaluation is a part of the development process aimed to ensure that the optimal final product ready for commercialization is delivered. Pilot will be executed in three phases: alpha, beta and pilot. The end users will be involved in trials and testing the platform in each of the phases while the platform itself will be gradually improved from one phase to the next according to the users' feedback and evaluation data. The report also defines the roles and responsibilities of the project partners, plan for training material design, ethical and legal issues and potential risks and mi...
Urban growth represents complex spatial process, dependent on many different factors (socio-econo... more Urban growth represents complex spatial process, dependent on many different factors (socio-economic conditions, demography, relief, infrastructure, planning constraints etc.) and often it does not come about according to urban plans and expected framework. By comparison of categorical planned land use maps and observed actual land use one can make the assessment of urban plan realization. The development of high-resolution spatial modeling techniques, geographical information systems and more accessible remote sensing data has increased the need for map-comparison methods. One of the most frequently used methods in geospatial applications is the standard kappa index. Over the past decade new kappa indices have been introduced: kappa locations – a measure of similarities in the spatial allocation of categories in the two compared maps, kappa histo – a measure of the quantity similarity of the two maps and kappa simulation – a measure of similarities of two maps but taking into account only the cells in which land use change has occurred, regarding to the initial map. This paper will present the use of recently introduced kappa statistics indices, for evaluation of Master Plan of Belgrade implementation, in several Belgrade municipalities with different urban characteristics. The actual Master Plan of Belgrade of year 2021 was done in 2003, so the plan implementation analysis for the time period of the seven years was done in 2010, based upon observed land use data. The aim was to determine whether the urban growth differs from the planned one in the period 2003-2010 and to evaluate the extent to which it was implemented
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