bluuebunny/crossref_metadata_2025 huggingface dataset:
The results of the study of research skills at children of primary school age
Authors: Киргизова А.В. , Филиппова А.Р.
Published: August 2022

В данной статье акцентируется внимание на значимости формирования исследовательских умений у обучающихся начальной школы, которые составляют базис для формирования самостоятельного умения учится в последующей жизни. Раскрывая подходы ученых к трактовке понятия «исследовательские умения», авторы статьи выделяют компоненты исследовательских умений и предлагают их рассмотрение с позиции: умения определять цель, умение сравнивать и устанавливать причинно-следственные связи, умение формулировать вывод и обосновывать свою позицию.Цель статьи заключается в выявлении особенностей и проблем формирования исследовательских умений у детей младшего школьного возраста. Авторами предлагается критериально-оценочный аппарат исследования, позволяющий оценить уровень сформированности каждого исследовательского умения у обучающихся в отдельности и в целом.С помощью модифицированных диагностик были получены и описаны результаты сформированности исследовательских умений у обучающихся младшего школьного возраста, свидетельствующие о необходимости решения выявленных проблем педагогами на этапе начального общего образования.Статья адресована исследователям в сфере образования и педагогам, реализующим образовательные программы уровня начального общего образования.

This article focuses on the importance of the formation of research skills at elementary school students, which form the basis for the formation of an independent ability to study in later life. Revealing the approaches of scientists to the interpretation of the concept of "research skills", the authors of the article highlight the components of research skills and offer their consideration from the stand point: the ability to determine the goal, the ability to compare and establish cause-and-effect relationships, the ability to formulate a conclusion and justify one's position.The purpose of the article is to identify the features and problems of the formation of research skills in children of primary school age. The authors propose a criteria-evaluative research apparatus that allows assessing the level of formation of each research skill in students individually, and as a whole.With the help of modified diagnostics, the results of the formation of research skills among students of primary school age were obtained and described, indicating the need to solve the identified problems by teachers at the stage of primary general education.The article is intended for researchers in the field of education and teachers implementing educational programs at the level of primary general education.
On current practices of developing motivation among school-children to study their native language and literature and perspectives for involving parents in them
Authors: Ядровская Е.Р. , Гусев А.В.
Published: August 2022

В статье представлен системный опыт реализации всероссийских социально значимых проектов, направленных на приобщение школьников и педагогов, родителей к изучению и сохранению родного языка и литературы, развитие межкультурного диалога. В работе рассматриваются проблемы развития мотивации школьников к чтению и изучению текстов литературы народов России. В качестве эффективного механизма достижения цели предлагается проектная и конкурсная деятельность, выделяются особенности ее содержания, принципы организации и пути развития. Особое внимание уделено перспективам вовлечения родителей (законных представителей) в процессы формирования у детей мотивации к родному языку и культуре. Статья адресована педагогическим работникам, специалистам в области литературы народов России, методистам, организаторам социально значимых проектов в области межнационального согласия, родителям.

The article presents a systematic experience in the implementation of all-Russian socially significant projects aimed at involving school-children, teachers, parents in the study and preservation of their native language and literature, and the development of intercultural dialogue. The article deals with the problems of developing the motivation of school-children to read and study the texts of the literature of the Russian nations. As an effective mechanism for achieving the goal, project-research and competitive activities are considered, the features of its content, principles of organization and development paths are highlighted. Special attention should be paid to the perspectives of involving parents (legal representatives) in the processes of formation of children's motivation for their native language and culture. The article is intended for teachers, specialists in the field of literature of the Russian nations, methodologists, organizers of socially-significant projects in the field of interethnic harmony, and parents.
The results of approbation of the model for the formation of students’ key competencies in the conditions of the center for education of digital and humanitarian profiles "Growth Point" (on the example of value-semantic competencies)
Authors: Бажук О.В. , Бажук В.В. , Пузеп Л.Г.
Published: August 2022

Актуальность статьи обусловлена необходимостью формирования у обучающихся ценностно-смысловых компетенций. Цель статьи заключается в формировании ключевых компетенций (на примере ценностно-смысловых компетенций) у старшеклассников во внеурочной деятельности на базе МБОУ «Завьяловская СОШ» в рамках центра образования цифрового и гуманитарного профилей «Точка роста». Проведенный анализ литературных источников позволил обосновать и апробировать модель центра образования цифрового и гуманитарного профилей «Точка роста», основными компонентами которой являются: целевой, структурно-содержательный, результативный. В статье представлены результаты реализации каждого компонента: анализ диагностических методик, разработка и внедрение программы внеурочной деятельности. Статья предназначена для работников системы образования, руководителей образовательных организаций, педагогов дополнительного образования, психологов, студентов и всех заинтересованных исследователей.

The relevance of the article is due to the need to form value-semantic competencies of students. The purpose of the article is to form key competencies (on the example of value-semantic competencies) of high school students in extra-curricular activities on the basis of the MBEI "Zavyalovskaya secondary school" within the center for education of digital and humanitarian profiles "Point of Growth". The analysis of literary sources made it possible to substantiate and test the model of the center for education of digital and humanitarian profiles "Growth Point", the main components of which are: targeted, structural-content, and effective. The article presents the results of the implementation of each component: analysis of diagnostic methods, development and implementation of an extra-curricular activity program. The article is intended for employees of the education system, heads of educational organizations, teachers of additional education, psychologists, students and all interested researchers.
Ethno-pedagogical aspects of cultural and educational activities of modern museums
Authors: Алексеева Л.Л.
Published: August 2022

Актуальность предлагаемой статьи обусловлена непреходящей значимостью отечественной народной педагогики и необходимостью более широкой трансляции имеющегося опыта этнографических музеев в приобщении молодого поколения к традиционным ценностям, культурному достоянию народов России. На примере Российского этнографического музея, Этнографического музея Казанского (Приволжского) федерального университета, Этнографического парка-музея – ЭТНОМИР показаны основные формы деятельности («в сети» и «вне сети»), приоритеты содержания в этнопедагогическом контексте. На основе выполненного рассмотрения автор предпринимает попытку обобщения с целью дальнейшего продвижения и активного применения эффективных этнопедагогических практик в различных учреждениях образования и культуры.Статья предназначена для преподавателей высшей школы, студентов и аспирантов, педагогических работников и научных сотрудников музеев, а также исследователей, заинтересованных в изучении и распространении этнопедагогического знания, народной культуры и отечественных традиций обучения и воспитания.

The relevance of the proposed article is due to the persistent importance of Russian folk pedagogy and the need for a wider translation of the existing experience of ethnographic museums in introducing the younger generation to traditional values, the cultural heritage of the peoples of Russia. Based on the example of the Russian Ethnographic Museum, the Ethnographic Museum of the Kazan (Volga Region) Federal University, the Ethnographic Park-Museum – ETNOMIR, the main forms of activity («online» and «offline»), the priorities of the content in the ethno-pedagogical context are shown. On the basis of the analysis completed, the author draws general conclusions relevant to further promoting and actively applying the effective ethno-pedagogical practices in various educational and cultural institutions.The article is intended for University-teachers, students and post-graduate students, teachers and researchers of museums, as well as researchers interested in the study and dissemination of ethno-pedagogical knowledge, folk culture and Russian traditions of teaching and upbringing.
Applying the frame-differencing method to determine student engagement in online learning
Authors: Насибуллов К.И. , Николаев К.С.
Published: August 2022

Актуальность данной статьи определяется тем фактом, что из-за пандемии COVID-19 и введенных ограничительных мер в России в последние годы востребованность образовательных программ, предоставляемых в дистанционном виде, заметно выросла. В этих условиях у преподавателей вузов ввиду технических и технологических особенностей онлайн-коммуникации возникают трудности с оценкой степени вовлеченности как отдельных студентов, так и всей группы обучающихся. В статье предложен алгоритм оперативной оценки степени вовлеченности обучающихся на основе невербальных проявлений поведения. Вовлеченность рассматривается как феномен коммуникации, проявляющий себя в синхронизации поведения его участников. В статье представлены результаты анализа видеозаписей двух лекций с использованием метода оценки различий кадров (frame-differencing method) и математического метода выявления синхронности CRQA (Cross Recurrence Quantification Analysis), разработаны и описаны алгоритмы оценки индивидуальной и групповой вовлеченности студентов. Статья предназначена для широкого круга специалистов, заинтересованных в совершенствовании технологии онлайн-образования.

The relevance of this article is determined by the fact that due to the COVID-19 pandemic and the restrictive measures introduced in Russia in recent years, the demand for educational programs provided remotely has increased noticeably. In these conditions, University-teachers, due to the technical and technological features of online communication, have difficulties assessing the degree of involvement of both individual students and the entire group of students. The article proposes an algorithm for fast assessment of the degree of students’ involvement based on non-verbal manifestations of behavior. Involvement is considered as a communication phenomenon that manifests itself in the synchronization of the behavior of its participants. The article presents the results of the analysis of video recordings of two lectures using the frame-differentiating method and the mathematical method of detecting synchronicity called CRQA (Cross Recurrence Quantification Analysis). Algorithms for assessing individual and group students’ involvement were developed and described. The article is intended for a wide range of specialists interested in improving the technology of online education.
Trans-gestures in the pantomime of victims of sexual violence and those, who are involved
Authors: Гончаренко Е.В. , Тайсаева С.Б. , Полякова Е.В.
Published: August 2022

Выделяется особый вклад А.Р. Лурия, его моторной сопряженной методики в изучении моторной продукции в психофиологических и верификационных исследованиях. Рассматриваются особая группа телодвижений в пантомимике человека у жертв сексуального насилия и причастных лиц в криминологической практике специалиста-психолога. Авторы дифференцируют вышеуказанные моторные акты в безынструментальной детекции лжи и присваивают им название транс-жесты. Устанавливается общий генезис автономных покачиваний корпуса тела «вправо-влево», ног «вперед-назад» с движениями тела младенца при укачивании ребенка матерью. Анализируется их взаимосвязь с повседневным трансовым состоянием. Отмечается роль ресурсных и адаптационных воспоминаний человека, бессознательно направленных на самоуспокоение и нейтрализацию эмоции страха у обследуемых. Актуальность исследования обусловлена тем, что в криминологической и психологической практике знания невербального поведения помогают диагностировать эмоциональное состояние причастных лиц и жертв сексуального насилия.

The special contribution of A.R. Luria, his motor conjugate technique in the study of motor production in psycho-philological and verification studies. A special group of body movements in human pantomimes of victims of sexual violence and people involved in the criminological practice of a specialist psychologist are considered. The authors differentiate the above motor acts in non-instrumental lie detection, and call them “trans-gestures”. The general genesis of autonomous swaying of the body "right-left", legs "forward-backward" with the movements of the baby's body when the child is rocked by the mother is established. Their relationship with the everyday trance state is analyzed. The role of resource and adaptive memories of a person unconsciously aimed at self-soothing and neutralizing the emotion of fear in the subjects is noted. The relevance of the study is due to the fact that in criminological and psychological practice, knowledge of non-verbal behavior helps to diagnose the emotional state of the people who are involved and victims of sexual violence.
Analysis of Determining Factors for Indonesian Coal Exports to 11 Regional Comprehensive Economic Partnership (RCEP) Countries
Authors: Ardelia Nisa Sahda , Puspitawati Eka
Published: August 2022

This study aims to determine export price, real GDP, exchange rates, geographic distance, and coal reserves of export destination countries on Indonesia coal export value to 11 RCEP countries for period 2010-2019 and describe the growth of Indonesian coal export value to 11 RCEP countries for period 2010-2019. The eleven RCEP countries are China, Australia, Japan, Korea, New Zealand, Singapore, Malaysia, Thailand, Philippines, Vietnam, dan Cambodia. This study used quantitative data with panel data regression. The results of the simultaneous significance test indicate that globally the independent variables in the model significantly affect the dependent variable. These results are supported by the partial test that export price, real GDP, and exchange rates has a positive significant effect on value of Indonesia coal export, while geographic distance and coal reserves of export destination countries has a negative significant effect on Indonesia coal export value.
Uncertainty and Monetary Policy: A Svar Analysis for Turkey
Authors: SIKLAR Emel , SIKLAR Ilyas
Published: August 2022

It is known that periods of high uncertainty in a country have significant effects on economic activities. Therefore, monetary policymakers should consider the degree of uncertainty in the decision-making process. In Turkey, changing the form of government from the parliamentary system to a presidential system in 2018, combined with the global Covid pandemic that started in 2020, caused an extraordinary increase in uncertainty and became one of the main sources of economic problems in the country. This study quantifies the effects of uncertainty on the Turkish economy through an SVAR model estimated with Bayesian techniques. The results show that high uncertainty has a negative and significant effect on economic activities, mainly with the decrease in consumption and investment expenditures. The Central Bank of the Republic of Turkey reacts to these developments with an expansionary monetary policy that injects liquidity into the economy. However, it should not be overlooked that such a policy has limitations due to its long-term negative effects.
The Effect of Enterprise Risk Management, Good Corporate Governance, Corporate Social Responsibility on Profitability and Firm Value
Authors: Fahrunisa Rikza , Sutrisno
Published: August 2022

The obyective of this study to examine the effect of Enterprise Risk Management (ERM), Good Corporate Governance (GCG), and Corporate Social Responsibility (CSR) on profitability and firm value. Profitability is measured by Return on Equity (ROE) and firm value is measured by Tobin's Q. Meanwhile, ERM, GCG and CSR are measured by the number of items disclosed by each variable compared to the number of items that should be disclosed. The population in this study are companies in the mining sector listed on the Indonesia Stock Exchange (IDX) with a sample of twenty eigh companies and observation period of five years (2016 - 2020). The results showed that ERM and CSR had a significant and negative effect on profitability, while GCG had no effect on profitability. Other results show that ERM and CSR have a significant and negative effect on firm value, and ROE has a significant and negative effect on firm value While GCG has no effect on firm value.
“Analysis of Regional Economic Potential of Barlingmascakeb Regional Institution Member Districts” (Case Study: Banjarnegara, Purbalingga, Banyumas, Cilacap and Kebumen Regencies)
Authors: Suryaningrum Ida Dwi , Mulyanto  , Magnus Soesilo Albertus
Published: August 2022

This study aims to analyze the leading sectors in the area of the Barlingmascakep Regional Institute. The data in this study is secondary data, while the data collection method uses the documentation method. The analytical methods used are loation quotient analysis, shift share analysis and Klassen typology analysis. The results show that Location Quotient (LQ) analysis shows that of the 17 economic sectors, Banjarnegara Regency has 10 base sectors, Purbalingga Regency has 8 base sectors, Banyumas Regency has 11 base sectors, Cilacap Regency has 2 base sectors and Kebumen Regency has 8 base sectors. . The results of the Shift Share (SS) analysis state that Banjarnegara Regency has a Differential Shift value of 9 positive sectors, Purbalingga Regency has a Differential Shift value of 13 positive sectors, Banyumas Regency has 13 positive sectors, Cilacap Regency has 9 positive sectors and Kebumen Regency has 11 positive sectors. The results of the sector classification show that Banyumas Regency is the largest Regency which has 10 leading sectors that are growing rapidly. Banjarnegara Regency and Purbalingga Regency only have 5 leading sectors and Kebumen Regency has 6 leading sectors. Meanwhile, Cilacap Regency is the Regency with the lowest leading sector, namely 1 leading sector. The results of the sector classification show that Banyumas Regency is the largest Regency which has 10 leading sectors that are growing rapidly. Banjarnegara Regency and Purbalingga Regency only have 5 leading sectors and Kebumen Regency has 6 leading sectors. Meanwhile, Cilacap Regency is the Regency with the lowest leading sector, namely 1 leading sector. The results of the sector classification show that Banyumas Regency is the largest Regency which has 10 leading sectors that are growing rapidly. Banjarnegara Regency and Purbalingga Regency only have 5 leading sectors and Kebumen Regency has 6 leading sectors. Meanwhile, Cilacap Regency is the Regency with the lowest leading sector, namely 1 leading sector.
The Effect of Implementing Android Based Information System on Waste Management
Authors: Wibowo Adhi , Setyawati Endang , Najmudin  , Axl Adilla
Published: August 2022

Waste transaction management at the Srayan Makarya waste bank is still done manually and to increase the time efficiency of transaction data reporting, researchers design and build an android-based application and test it comparatively in terms of time to see if it can improve the time efficiency of the transaction data reporting process. Researchers also evaluate the application in terms of efficiency, effectiveness and usability of the business processes that occur in the organization. And the results of the comparative test found that there was a significant time difference from the previous 8.8928 minutes to 4.2197 in the transaction data reporting process. And the results of the benefit test also obtained an efficiency value of 93.5%, effectiveness of 96.3% and usability of 92.6%.
Digital Financial Literacy on the Batik SMEs in Banyuma
Authors: Naufalin Lina Rifda , Krisnaresanti Aldila , Jaryono  , Tohir  , Indrayanto Adi , Iskandar Dadang
Published: August 2022

Issues regarding digital financial literacy are experienced by Batik SMEs in Banyumas regency. The aim of this research is to obtain data analysis affecting the digital financial literacy condition of Batik SMEs and to delve further into the necessity of digital financial literacy training according to the Batik SME’s characteristics in Banyumas. This research was conducted in Banyumas with 23 Batik SMEs incorporated in the Berkah Rindang Kinasih Cooperation. This research is quantitative descriptive research. Data collection techniques of this research are observation, interview, Focus Group Discussion (FGD), and documentation. Research results showed that 21,7% or 5 of batik SMEs that had used digital finance facilities such as M-Banking, GoPay, and SMS Banking. Moreover, all of Batik SMEsdesire training on how to use e-wallets and the management of digital transactions.
Practices and Outcomes of Social Responsibility Governance in Higher Education Institutions. The Portuguese Case
Authors: Silva Faria Maria José da
Published: August 2022

The study of social responsibility has gained high interest and extended its field of action to higher education institutions (HEIs) which, as entities, whether profit or non-profit, play a relevant role in the community in which they operate. The purpose of this article is to determine whether this role is visible and performed by HEIs. If so, the purpose of the article is to determine which HEIs are active in these practices and their specificity. Finally, the objective of this article is to determine the main results of such practices under the dimensions of university social responsibility created by Vallaeys et al. (2009): responsible campus, professional and citizen training, social management of knowledge and social participation. The methodology used focused on a qualitative, questionnaire-based survey study carried out on a sample of HEIs in the Porto region (Portugal) consisting of 27 HEIs divided between universities and polytechnic institutes. Data collection was carried out by e-mail and 14 answers were obtained, from which it was possible to perceive that the 14 HEIs respondents are aware of the concept and understanding of SUW. Executed practices vary between HEIs, with the majority comprising the economic, environmental and social areas. As results in the four domains of action the HEIs bet on lectures and seminars, social welfare, improvement of living conditions and social inclusion of professionals and students, the surrounding community, social justice, human rights and social cohesion, ethical respect, environmental sustainability and training of professionals able to grasp and apply this knowledge in the community among others.
From Detention to Devotion: Historical Horror and Gaming Politics in Taiwan
Authors:   University of Canterbury, Wu Chia-Rong
Published: August 2022

This article provides a theoretical review of Detention (Fanxiao 返校) and Devotion (Huanyuan 還願) by Red Candle Games. The international recognition received by these two horror video games is unprecedented in the history of Taiwan. The first part of the article surveys the design and production of the two horror-themed games, both set in the Martial Law period of the island-state. While Detention combines individual and collective memories of the White Terror and the dreadful atrocities committed by the Kuomingtang (KMT) government during the 1960s, Devotion is centred on the parent-child relationship and religious frenzy on the island in the early 1980s, with a focus on a small Taiwanese family. Both games insightfully capture the representation of horror in response to socio-political turmoil and cult culture in the specific historical contexts of the local community. In the second part, the article addresses the issue of how the two video games subtly speak to local and cross-Strait politics via the horror genre. Through a Sinophone lens, this article brings into focus the complex representation of gaming politics and examines how Red Candle Games repackages and revitalizes the horror genre in the videoludic world.
Civil Disobedience in the Era of Videogames: Digital Ethnographic Evidence of the Gamification of the 2019-20 Extradition Protests in Hong Kong
Authors: Ho Christopher J.H.
Published: August 2022

This paper demonstrates that the ‘gamification’ of the 2019-220 Hong Kong extradition protests was instrumental to the longevity of the protests and their success in repealing the Extradition Bill. Two elements of the protests are identified to be both crucial and game-like: the ‘play’ and the ‘meta-game’ elements of the protest. The play element is best exemplified by the mobile application colloquially known as ‘Popomon Go’, where ‘players’ are incentivized to go on ‘missions’ to seek and geotag police officers to form a heat-map of police officers throughout Hong Kong, as well as gather their personal data. The meta-game element, on the other hand, looks at every other aspect of those games except the gameplay. The combination of these two elements helped an apparently leaderless civil disobedience movement evade mass arrest, reduce anxiety, and increase efficiency, but also led to a long period of civil disobedience, thus placing more pressure on policy decision makers.
Games as Historical Representations: The Present/Presence in the Past
Authors: Tse Jamie Wing Tung
Published: August 2022

This essay examines the nature and socio-cultural value of games as historical representations that bridge the temporal gap between the past and the present. Through a close examination of Detention (Fan xiao返校, 2017) and Devotion (Huan yuan還願, 2019), the two Taiwanese horror games produced by Red Candle Games. I argue that games as historical representations not only introduce players to the traumatic past but also engage them in the turbulence of the present to envision a better future.
Negotiating Chinese Youth Cyber Nationalism through Play Methods
Authors:   University of Malta, Harrington Johnathan , Zhang Zimu
Published: August 2022

In this paper, we will look at how Chinese youth perform nationalism through player-devised play methods. We argue that as young players become more politically conscious, they are negotiating their politics through play. Within these play situations, players are solidifying their individual beliefs while finding like-minded players. However, players are also establishing a nationalism that is defined not only through a set of core characteristics, but also through an active rejection of the politics embedded within western-oriented digital spaces, by playing in non-standard ways. Through transgressive play methods, players are countering hegemonic western politics present in commercial games and replacing them with their own nationalist politics through player-enforced rules, discussed through internet forums and preserved through memorial videos on online websites. We will look at two specific case studies: firstly, we will look at the Red Shirt Army, a streaming community in H1Z1, where players acted out Chinese military superiority by flouting the four player limit originally set by the designers; secondly, we will look at the Great Socialist Production play method, where Chinese players went against the morality set in Frostpunk, a steampunk game by Polish developers, by arguing that greater societal prosperity was more important than “white left” moral posturing.
Post–COVID-19 Condition Summary of Guidelines
Authors: Haas Robyn , Garland Sarah , Loshak Hannah
Published: August 2022

The purpose of this report is to provide an overview for the existing guidelines about post–COVID-19 condition available on the online COVID-19 Recommendations Map.

As of May 2022, 16 clinical practice guidelines that addressed post–COVID-19 condition were available to be summarized, spanning 7 different intents (topic areas): diagnosis, health services and systems, infection control, planning and monitoring, screening, treatment and rehabilitation, and vaccination.

Eleven guidelines included recommendations related to diagnosis.

Five guidelines included recommendations related to health services and systems.

Six guidelines included recommendations related to infection control.

Six guidelines included recommendations related to planning and monitoring.

Four guidelines included recommendations related to screening.

Eleven guidelines included recommendations related to treatment and rehabilitation.

Six guidelines included recommendations related to vaccination.
A METHOD FOR UNIVERSAL SUPERCELLS-BASED REGIONALIZATION (PRELIMINARY RESULTS)
Authors: Nowosad J. , Stepinski T. F. , Iwicki M.
Published: August 2022

Abstract. Geospatial data comes in various forms, including multi and hyperspectral images but also rasters of local composition, local time series, local patterns, etc. Thus, we generalize the SLIC algorithm to work with a library of different data distance measures that are pertinent to geospatial rasters. This contribution includes a description of the generalized SLIC algorithm and a demonstration of its application to the regionalization of the raster of local compositions (of land cover classes). Two workflows were tested, both starting with SLIC preprocessing. In the first, superpixels are subject to regionalization using the graph-partitioning algorithm. In the second, superpixels are first clustered using the K-means algorithm, followed by regions delineation using the connected components labeling. These two workflows are compared visually and quantitatively. Based on these comparisons, coupling of superpixels with a graph-partitioning algorithm is the preferred choice. Finally, we propose using the SLIC superpixel preprocessing algorithm for the task of regionalization of various geospatial data in the same way as it is used for the task of image segmentation in computer vision.
GEO COLLECTOR BOT: A TELEGRAM-BASED OPEN TOOLKIT TO SUPPORT FIELD DATA COLLECTION
Authors: Oxoli D. , Pessina E. , Brovelli M. A.
Published: August 2022

Abstract. Georeferenced field data collection has become a popular practice allowing everyone to contribute to mapping objects or reporting events. The spread of mobile devices - capable of recording and sharing location coordinates, media and features while on the go - is primarily accountable for such diffusion. Accordingly, a number of mobile apps and software frameworks have been developed and released to perform field data collection. These frameworks allow to customize and dispatch collection forms as well as to manage contributors and records through web interfaces or database management systems. From the contributors’ perspective, specific mobile client apps need to be installed to access selectively the collection forms and contribute to the data collection on the field using their mobile devices. This operation might inhibit the sporadic contribution of occasional users who may not be willing to install additional software. To overcome this limitation, this work presents the Geo Collector Bot, an alternative software toolkit to empower field data collection projects avoiding the development and/or the installation of a specific mobile app on contributors’ devices. The Geo Collector Bot is a configurable Telegram-based chatbot enabling to dispatch of data collection forms that can be activated and filled in through Telegram chats. The ultimate goal of the presented work is to provide an alternative free and open-source software framework suitable for general-purpose field data collection applications. Development patterns and system architecture are described in detail alongside future improvements and outlooks for the Geo Collector Bot project.
INFORSAT: AN ONLINE SENTINEL-2 MULTI-TEMPORAL ANALYSIS TOOL SET USING R CRAN
Authors: Pirotti F. , Kutchartt E. , Piragnolo M.
Published: August 2022

Abstract. Remote sensing via orbiting satellite sensors is today a common tool to monitor numerous aspects related to the Earth surface and the atmosphere. The amount of data from imagery have increased tremendously since the past years, due to the increase in space missions and public and private agencies involved in this activity. A lot of these data are open-data, and academics and stakeholders in general can freely download and use it for any type of application. The bottle-neck is often not data availability anymore, but the processing resources and tools to analyse it. In particular multi-temporal analysis requires stacks of images thus digital space for storage and processing workflows that are tested and validated. Processing image by image is often not a viable approach anymore. Basic tools for multi-temporal analysis are provided via the same web interface, allowing the user to also apply parallel processing for a faster data extraction. A study case over burned areas in the north-eastern region of Italy are reported, to show how the multi-temporal analysis tools provided can be a valid source of data for further analysis. Multitemporal data consisting on the index values of each pixel inside user-defined areas can be downloaded in a spreadsheet that provides the values, the cell ids, the timestamp and the cloud and snow percentage. Also the full-resolution raster with index values that are rendered on screen can be downloaded as GeoTIFF at each specific date.
SERVING GEOSPATIAL DATA USING MODERN AND LEGACY STANDARDS: A CASE STUDY FROM THE URBAN HEALTH DOMAIN
Authors: Simoes J. , Cerciello A.
Published: August 2022

Abstract. The eMOTIONAL Cities project sets out to understand how the natural and built environment can shape the feelings and emotions of those who experience it. It does so with a cross-disciplinary approach which includes urban planners, doctors, psychologists, neuroscientists and engineers. At the core of this research project, lies a Spatial Data Infrastructure (SDI) which assembles datasets that characterise the emotional landscape and built environment, in different Cities across Europe and the US. The SDI is a key tool, not only to make the research data available within the project consortium, but also to allow cross-fertilisation with other ongoing projects and later on, to reach a wider public audience. For more than twenty years SDIs have adopted the OGC W*s service interfaces, which are based on SOAP, the Simple Object Access Protocol. In recent years a new “family” of APIs has emerged within OGC, which is more aligned with modern web practices. In this project, we set out to leverage the advantages of this new approach, and compiled a stack to implement an SDI based on OGC APIs. However, we realised that we still need to support the legacy standards, either because an OGC API replacement is not mature enough, or there are no implementations available. This has led us to compile another stack based on the legacy standards. In this paper we describe our architecture, along with the challenges that we had to address. Both stacks are based on OSGeo Software, and they are available on GitHub.
MORPHOLOGICAL SPATIAL PATTERN ANALYSIS: OPEN SOURCE RELEASE
Authors: Soille P. , Vogt P.
Published: August 2022

Abstract. The morphological segmentation of binary patterns provides an effective method for characterising spatial patterns with emphasis on connections between their parts as measured at varying analysis scales. The method is widely used for the analysis of landscape patterns such as those related to the fragmentation of forests or other natural land cover classes. This can be explained by its effectiveness at capturing the complexity of binary patterns and their connections by partitioning the foreground pixels of the corresponding binary images into mutually exclusive classes. While the principles of the method are conceptually simple, the definition of the classes relies on a series of advanced mathematical morphology operations whose actual implementation is not straightforward. In this paper, we propose an open source code for MSPA and detail its main components in the form of pseudo-code. We demonstrate its effectiveness for asynchronous processing of tera-pixel images and the synchronous exploratory analysis and rendering with Jupyter notebooks.
CLASSIFYING AMERICAN VITICULTURAL AREAS BASED ON ENVIRONMENTAL DATA
Authors: Tobias M. M.
Published: August 2022

Abstract. American Viticultural Areas are wine appellation areas in the United States formally and legally defined by the US Alcohol and Tobacco Tax and Trade Bureau (TTB) through a petition process and are used in marketing wine. The TTB’s petition process is intended to define areas containing unique environmental conditions. In this paper, I investigate how similar AVA boundaries are in their environmental characteristics though a hierarchical cluster analysis, using the environmental variables required to be described in the petition process. The AVAs fell into six groups, driven largely by their physical features such as topography, elevation, or location on a coastline, rather than into geographic clusters.
COMPUTING GLOBAL HARMONIC PARAMETERS FOR FLOOD MAPPING USING TU WIEN’S SAR DATACUBE SOFTWARE STACK
Authors: Tupas M. , Navacchi C. , Roth F. , Bauer-Marschallinger B. , Reuß F. , Wagner W.
Published: August 2022

Abstract. TU Wien’s flood mapping algorithm, used for global operations, utilizes harmonic functions to model the seasonal behavior of backscatter to improve flood classification. In earth observation (EO), temporal harmonic models have been used in various scenarios for vegetation and water mapping in the optical and, recently, synthetic aperture radar (SAR) domains. These models condense EO time series stacks to a few Fourier coefficient images that capture seasonal variability, allowing for variable estimation for each day of the year. TU Wien’s harmonic parameters consist of these coefficients plus the regression standard deviation and number of observations. However, generating harmonic models at large scales and high resolution presents significant logistical and technical challenges. Particularly for SAR, which requires special handling due to acquisition geometry considerations, implementation on a datacube infrastructure is necessary for agile filtering in metadata, temporal and spatial dimensions. In this work, we highlight our harmonic parameter dataset and our software stack of loosely coupled Python packages, which were deployed in a high-performance computing environment to generate these parameters globally.
A GEOSPATIAL KNOWLEDGE GRAPH PROTOTYPE FOR NATIONAL TOPOGRAPHIC MAPPING
Authors: Varanka D. E.
Published: August 2022

Abstract. Knowledge graphs are a form of database representation and handling that show the potential to better meet the challenges of data interoperability, semi-automated information reasoning, and information retrieval. Geospatial knowledge graphs (GKG) have at their core specialized forms of applied ontology that provide coherent spatial context to a domain of information including non-spatial attributes. This paper discusses research toward the development of a prototype GKG based on national topographic databases of geospatial feature instances, attributes, properties, metadata, and annotations. The challenges are to capture and represent geographic semantics inherent in the source data, to align such graph models with standards where possible, to test logical computations, and to visualize the data using a cartographic user interface. Data integration from outside sources was tested through SPARQL and GeoSPARQL queries. Called the MapKB, the approaches applied in this prototype use a number of software components to build a system architecture aligned with those objectives and are composed entirely of free and open-source software. The system and ontology design were validated through reasoning and competency questions. Technical aspects of the prototype software succeeded, but customization was found to be needed for user-based design.
LANDSLIDE SUSCEPTIBILITY ASSESSMENT: SOIL MOISTURE MONITORING DATA PROCESSED BY AN AUTOMATIC PROCEDURE IN GIS FOR 3D DESCRIPTION OF THE SOIL SHEAR STRENGTH
Authors: Viaggio S. , Iacopino A. , Bovolenta R. , Federici B.
Published: August 2022

Abstract. Slope stability is strongly influenced by soil hydraulic conditions. Considering rain-triggered shallow landslides, the stability can be markedly influenced by the propagation of the saturation front inside the unsaturated zone. Soil shear strength varies in the vadose zone depending on the type of soil and the variations of soil moisture. Monitoring of the unsaturated zone can be done by measuring volumetric water content using low-cost instrumentation, such as capacitive sensors that are easy to manage and provide data in near-real time. For a proper soil moisture assessment a laboratory soil-specific calibration of the sensors is recommended. Knowing the soil water content, the suction parameter can be estimated by a Water Retention Curve (WRC), and consequently the soil shear strength in unsaturated conditions is evaluated. Several models are already proposed for shallow landslide susceptibility evaluation, also in FOSS GIS environment. However, these models do not usually consider the soil shear strength in unsaturated conditions, even if it is crucial, especially in the case of shallow landslides. A procedure that allows the estimate of the soil shear strength starting from soil moisture monitoring data (from sensor networks or satellite-derived map) is here presented. Moreover, preliminary results relative to a case study (i.e. the landslide of Ceriana-Mainardo in Italy) are shown. The proposed procedure could be integrated into existing models for landslide susceptibility assessment and also for the emergency management.
TACKLING THE CHALLENGES OF SOFTWARE PROVISION
Authors: Vogt P. , Rambaud P.
Published: August 2022

Abstract. In this perspective, we investigate the less documented topic of software provision, aimed at bridging the community of software developers to the one of software end-users. We outline aspects of the circular flow of software development, starting from the source code, software packaging, the target platform, licensing, program documentation, and feedback. Next, we highlight challenges and opportunities of these aspects and how they contribute to the overall success and adoption of a software application. Finally, we exemplify and illustrate how these aspects were addressed with the provision of the software GWB on FAO’s cloud computing platform SEPAL. The outlined reflections on software provision are of generic nature and, depending on a given software, may include many more, or different aspects. Yet, we hope that this perspective may trigger more interest and dedication to the topic of software provision and its integral function to promote and improve software development.
CREATING A LAND USE/LAND COVER DICTIONARY BASED ON MULTIPLE PAIRS OF OSM AND REFERENCE DATASETS
Authors: Wang S. , Zhou Q. , Liu Y.
Published: August 2022

Abstract. OpenStreetMap (OSM) can supply useful information to improve land use/land cover (LULC) mapping. A dictionary is needed to convert each OSM tag into a LULC class. However, such a dictionary was mostly created subjectively or with only one pair of OSM and reference datasets. As a result, the existing dictionaries may not be applicable to other study areas. This study designed four measures: sample count, average area percentage, sample ratio and average maximum percentage; and used multiple pair of OSM and reference datasets to create a dictionary. 50 pan-European metropolitans were involved for testing and 1409 different OSM tags were found. We further found that: (1) Only a small proportion of OSM tags play a decisive role for LULC mapping. (2) An OSM tag may correspond to multiple different LULC classes, but the issue that which and how different LULC classes correspond to each OSM tag can be determined. Moreover, not only the proposed dictionary is useful for various applications, e.g., producing LULC maps and assessing the quality of an OSM dataset, but also the approach can be applicable to different study areas and/or LULC datasets.
DEVELOPING A PRIVACY-AWARE MAP-BASED CROSS-PLATFORM SOCIAL MEDIA DASHBOARD FOR MUNICIPAL DECISION-MAKING
Authors: Weckmüller D. , Dunkel A.
Published: August 2022

Abstract. Social media (SM) has become a principal information source and the vast amounts of generated data are increasingly used to inform various disciplines. Most platforms, such as Instagram, Twitter or Flickr, offer the option to tag a post with a location or a precise coordinate, which also fosters applications of data in the geospatial fields. Notwithstanding the many ways in which these data could be analyzed and applied, scandals such as Cambridge Analytica have also shown the risks to user privacy that seem inherently part of the data.Is it possible to mitigate these risks, while maintaining the collective usability of this data for society questions? We identify urban planning as a key field for socio-spatial justice and propose an open source map-based cross-platform dashboard, fueled by geospatial SM, as a supporting tool for municipal decision-makers and citizens alike. As a core part of this tool, we implement a novel privacy-aware data structure that allows for both, a more transparent, encompassing data ground for municipalities, and a reduced data collection footprint, preventing the misuse of data or compromising user privacy.
MODELING OF FOREST LANDSCAPE EVOLUTION AT REGIONAL LEVEL: A FOSS4G APPROACH
Authors: Zatelli P. , Tattoni C. , Gobbi S. , Cantiani M. G. , La Porta N. , Ciolli M.
Published: August 2022

Abstract. In the last decades the Alpine landscape has dramatically changed due to social and economic factors. The most visible impact has been the reduction of the population for mid and high altitude villages and the shrinking of the part of the land used for agriculture and grazing, with a progressive reduction of pastures and meadows and the expansion of the forested areas. For these reasons, a dataset describing the forest, meadows and pasture coverage for the Trentino region, in the eastern Italian Alps, has been created. A set of heterogeneous sources has been selected so that maps and images cover the longest possible time span on the whole Trentino region with comparable quality, creating a Land Use/Land Cover (LULC) map based on historical maps from 1859 to 1936 and aerial images from 1954 to 2015. The achieved accuracy ranges from 98% for historical maps to 94% for aereal imagery. The analysis of selected landscape metrics provided preliminary results about the forest distribution and patterns of recolonization during the last 155 years. It has been possible to create future scenarios for the forest evolution for the next 85 years. Given the large number of maps involved, the great flexibility provided by FOSS for spatial analysis, such as GRASS, R, QGIS and GAMA and the possibility of scripting all the operations have played a pivotal role in the success both in the creation of the dataset and in the extraction and modeling of land use changes.