Geovisual Analytics of Spatio-Temporal Earthquake Data in Indonesia

Indonesia is one of the nations located in the Ring of Fire. Indonesia has a high level of geodynamic activities so that it's often earthquake tectonics. The earthquakes are caused by Indonesia position located in the confluence of four main plates. At present, the history of earthquake data in Indonesia has been accessible by the public. However, general visualization which can present history earthquake in the form maps and summary statistics have not been available. Therefore, this research aims to visualize the history of earthquake data interactively combining spatial data and temporal data. The data used for this research was obtained from BMKG website. The data variables used in this research include CORS stations and history of earthquake phenomenons between 2004 and 2019. The earthquake phenomenon consists of occurrence time, coordinate position, depth and magnitude. The data are processed using Ms Excel and ArcGIS Online Map then are visualized by Web AppBuilder for ArcGIS. The results of the data processing are maps presented in a dashboard with time-series animation and widgets features. We performed maps, graphics and time-series animation as interactive visual interfaces and matched the tasks to visual analytics techniques that are capable to support them. In this paper, we introduce the relationship between variables and present the visual analytics techniques using several example scenarios of Spatio-temporal earthquake data.

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SPATIAL DATA: FROM CARTOGRAPHY TO GEODATABASE

Geodesy and Cartography ◽

10.3846/20296991.2017.1412613 ◽

2017 ◽

Vol 43 (4) ◽

pp. 142-146 ◽

Cited By ~ 3

Author(s):

Ugo FALCHI

Keyword(s):

Spatial Data ◽

Common Good ◽

Spatial Information ◽

Geographic Information ◽

The Public ◽

Significant Acceleration ◽

Management And Development ◽

The Status ◽

History Of ◽

Essential Knowledge

The final goal of this paper was to fix a brief summary on the status of geographic information in Italy due to the technological steps and national regulations. The acquisition, processing and sharing of spatial data has experienced a significant acceleration thanks to the development of computer technology and the acknowledgment of the need for standardization and homogenization of information held by public authorities and individuals. The spatial data represents the essential knowledge in the management and development of a territory both in terms of planning for safety and environmental prevention. In Italy there is an enormous heritage of spatial information which is historically affected by a problem of consistency and uniformity, in order to make it often contradictory in its use by the public decision-maker and private parties. The recent history of geographic information is characterized by a significant effort aimed at optimizing this decisive technical and cultural heritage allowing the use of it to all citizens in a logic of sharing and re-use and may finally represent a common good available to all.

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On the 125th anniversary of the discovery of radioactivity: history of development and current state of regulation of the provision of the radiation safety of the public

Radiatsionnaya Gygiena = Radiation Hygiene ◽

10.21514/1998-426x-2021-14-4-6-16 ◽

2021 ◽

Vol 14 (4) ◽

pp. 6-16

Author(s):

G. G. Onischenko ◽

I. K. Romanovich ◽

O. A. Istorik ◽

A. V. Vodovatov ◽

A. M. Biblin ◽

...

Keyword(s):

Radiation Safety ◽

Federal State ◽

X Rays ◽

The Public ◽

History Of Development ◽

Current State ◽

125Th Anniversary ◽

History Of ◽

Radiobiological Effects ◽

High Level

This paper is focused on the history of development and current state of regulation of the provision of radiation safety of the public. It includes data on the history of discovery of the X-rays, radioactivity and development of the atomic industry in the USSR and in the world as well as the issues of evaluation of the radiobiological effects of the ionizing radiation on the human and history of the development of regulations. It is indicated, that the principles of the radiation safety, norms and approaches to the provision of the radiation protection presented in the Federal state Law № 3-FZ “On the radiation safety of the public” and NRB 99/2009 fully comply with the ICRP Publication 60 (1990) and International Basic Safety Standard (IAEA, 1997). For decades, FZ-3 and NRB 99/2009 have allowed provisioning the high level of radiation safety of the personnel and the public.

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Development of Spatio-Temporal Database Prototype For Management of 4-Dimensional Cadastre Object In Indonesia

JGISE Journal of Geospatial Information Science and Engineering ◽

10.22146/jgise.41680 ◽

2019 ◽

Vol 1 (2) ◽

Author(s):

Miranty Noor Sulistyawati ◽

Trias Aditya ◽

Purnama Budi Santosa

Keyword(s):

Spatial Data ◽

Historical Data ◽

International Standards ◽

Temporal Database ◽

Object Registration ◽

Indonesian Population ◽

The World ◽

History Of ◽

Spatio Temporal ◽

2D And 3D

The dynamics of the Indonesian population has increased causing the need for cadastral objects to increase. 2D and 3D cadastral objects change over time. Cadastral objects have spatial and juridical data changes every day. These changes can be caused by the transfer of rights, changes of rights, split and merging cadastral objects. Changes are recorded and stored as a history of cadastral objects (4-dimensional cadastre). Historical data on cadastral objects can be categorized as one of the big data in the cadastre sector, based on the frequency of recording data. The data can be used to track changes in cadastral objects so that they can avoid disputes. Spatial data in this case is very vulnerable data to cause disputes if the shape, position and size do not match the conditions in the field, and need special attention in integrating with the juridical data. This paper aims to identify methods for storing spatial data of 4D cadastral objects that are suitable for Indonesia. The importance of storing cadastral objects and their history causes researchers and cadastre experts in the world to formulate international standards in managing spatial and juridical data along with a history of cadastral objects (4D cadastre). LADM is an international standard conceptual model (ISO 19152) which can show the legacy of a cadastral object expressed in RRR (Rights, Restriction and Responsibility). In LADM, there is a VersionedObject class that represents various versions or a history of spatial units, object registration, owner and administration. Several studies conducted by researchers in the world were compared in this paper to find methods for applying LADM and VersionedObject classes. That methods were implemented in this paper to design a database of spatio-temporal 4D cadastre. Finally a prototype of spatial-temporal database will be produced to manage 4D cadastral objects.

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Precipitation isotope time series predictions from machine learning applied in Europe

Proceedings of the National Academy of Sciences ◽

10.1073/pnas.2024107118 ◽

2021 ◽

Vol 118 (26) ◽

pp. e2024107118

Author(s):

Daniel B. Nelson ◽

David Basler ◽

Ansgar Kahmen

Keyword(s):

Machine Learning ◽

Time Series ◽

Climate Data ◽

Modeling Framework ◽

History Of ◽

Oxygen Isotopic ◽

Input Variables ◽

Hydrogen And Oxygen Isotope ◽

High Level

Hydrogen and oxygen isotope values of precipitation are critically important quantities for applications in Earth, environmental, and biological sciences. However, direct measurements are not available at every location and time, and existing precipitation isotope models are often not sufficiently accurate for examining features such as long-term trends or interannual variability. This can limit applications that seek to use these values to identify the source history of water or to understand the hydrological or meteorological processes that determine these values. We developed a framework using machine learning to calculate isotope time series at monthly resolution using available climate and location data in order to improve precipitation isotope model predictions. Predictions from this model are currently available for any location in Europe for the past 70 y (1950–2019), which is the period for which all climate data used as predictor variables are available. This approach facilitates simple, user-friendly predictions of precipitation isotope time series that can be generated on demand and are accurate enough to be used for exploration of interannual and long-term variability in both hydrogen and oxygen isotopic systems. These predictions provide important isotope input variables for ecological and hydrological applications, as well as powerful targets for paleoclimate proxy calibration, and they can serve as resources for probing historic patterns in the isotopic composition of precipitation with a high level of meteorological accuracy. Predictions from our modeling framework, Piso.AI, are available at https://isotope.bot.unibas.ch/PisoAI/.

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Reflection of public debt in financing deficit, capital investments and economic growth in Kosovo and level comparison with other countries

International Journal of Management Excellence ◽

10.17722/ijme.v14i2.1141 ◽

2020 ◽

Vol 14 (2) ◽

pp. 2083-2090

Author(s):

Refik Kryeziu

Keyword(s):

Economic Growth ◽

Public Debt ◽

Capital Investments ◽

The European Union ◽

The Public ◽

Domestic Debt ◽

Finance Development ◽

History Of ◽

High Level ◽

Constant Growth

In this paper, we present the processes of public debt development in Kosovo for the period of its functioning, respectively from 2009 until 2018. There is no long history of it, but there is a dynamic constant growth. The methodology used in this paper is based on empirical study analysis, and the scientific literature we have elaborated has found that many thinkers who support public debt with arguments justify this non-fiscal instrument to finance the budget deficit as well as some others who object it. In addition to the international debt with 42% share, in 2012, the domestic debt began to function, with securities issuing at 58%. Along with the country's economic growth, we have also increased budget, and GDP growth. While every year we have an average economic growth of 3.2% to 3.5%. In 2013, compared to 2012, the budget increase is 1.96%, in 2016 compared to 2015 is 7%. In 2017 compared to 2016 we have a growth of 8.31%. In 2009, the debt-to-GDP ratio had a share of 6.12%, in 2014 it reached 10.65%, in 2017 the share of debt to GDP (GDP) was 16.63% and in Q3 of 2018 it was 16.92 %. In the countries of the region and the European Union we have different levels. Most states have a high level of debt to GDP.The study of the literature review was carried out using selected four databases containing publications. Research has been done to find out how much the public debt level is based on the specifics of the economy and fiscal policy in Kosovo. In addition to the dynamics of public finance development, public debt has also been realized.

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Introduction

Playing the Market ◽

10.1093/oso/9780198864257.003.0001 ◽

2021 ◽

pp. 1-19

Author(s):

Kieran Heinemann

Keyword(s):

Stock Market ◽

Cultural Change ◽

Small Scale ◽

The Public ◽

The Social ◽

Popular Knowledge ◽

History Of ◽

Market Practices ◽

High Level ◽

Public Imagination

The book gains new insights into the history of Britain’s stock market by foregrounding the power of popular knowledge and specific market practices from a ‘bottom-up’ perspective. Alongside high-level financiers, the voices of the small-scale participants of the market will be heard, an approach that yields a subtle narrative of cultural change and adaptation. Throughout the century, a popular knowledge of the stock market was promoted by the financial press and by numerous investment guides that sold millions of copies. This exposure to the market in everyday life has been overlooked by other accounts preoccupied with intellectuals and economists, Westminster politics, and the engine rooms of high finance. Contextualizing specific financial practices of retail investors offers a better understanding of how the stock market captured the public imagination. In doing so, Playing the Market takes issue with the way the investing public has been conceptualized in the existing literature: all too often the actual investors are either absent from the narrative or are implied to be a homogenous group of rational actors who consciously adjust to changing economic parameters. However, if we listen to their voices and stories, the diversity of attitudes towards investment and speculation comes to the fore as well as the inherent difficulty of distinguishing between the two categories. What some investors considered a perfectly legitimate way of making money, others may have viewed as immoral profiteering. The ensuing moral debates over the social value of buying and selling financial securities mattered profoundly for the legitimacy and popularity of capitalism.

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FEATURES OF SIMBIRSK BOLSHEVIKS’ WORK AMONG THE CHUVASH POPULATION (1918–1920)

Historical Search ◽

10.47026/2712-9454-2020-1-3-127-131 ◽

2020 ◽

Vol 1 (3) ◽

pp. 127-131

Author(s):

Anna V. Titko

Keyword(s):

Work Experience ◽

The Public ◽

Ulyanovsk Region ◽

History Of ◽

State Archives ◽

The Right ◽

The Masses ◽

High Level ◽

Printed Word ◽

The Town

The article deals with the problems of creation and activity of the Chuvash national section in 1918–1920 in Simbirsk. The analysis of document kept at the State Archives of Modern History of Ulyanovsk region is indicative of the national rise of the Chuvash people after the February Revolution of 1917; it shows a high level of education among the Chuvash communists. The work experience of Chuvash Bolsheviks among the population is analyzed. Errors and achievements of propaganda work among the Chuvash population of the province are shown. In Simbirsk province 250 thousand Chuvash lived, and Simbirsk was a recognized Chuvash cultural and educational center. From 1868 the Chuvash Teacher Seminary worked in the town, which launched the beginning of national intelligentsia formation. Graduates and students of the seminary (27 persons) became members of the Chuvash section of the RCP(b), setting the task of conducting propaganda and campaigning among the Chuvash population in their native language. The members of the section were young, energetic and fairly well educated. They were able to deploy the work on the scale of the whole province but they made mistakes: they put emphasis on the printed word. Most of the peasants were illiterate. Neither the calls of the Chuvash communists to create collective farms caused their sympathy. The members of the section found the right path to the masses. They noticed a passionate interest of the Chuvash population in art. Since the autumn 1919 all the public speakings of activists were accompanied by performances and singing of national choirs. Success was not long in coming.

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A GeoNode-Based Platform for an Effective Exploitation of Advanced DInSAR Measurements

Remote Sensing ◽

10.3390/rs11182133 ◽

2019 ◽

Vol 11 (18) ◽

pp. 2133 ◽

Cited By ~ 2

Author(s):

Sabatino Buonanno ◽

Giovanni Zeni ◽

Adele Fusco ◽

Michele Manunta ◽

Maria Marsella ◽

...

Keyword(s):

Time Series ◽

Spatial Data ◽

Large Data ◽

Interferometric Synthetic Aperture Radar ◽

Geospatial Information ◽

Web Based ◽

Data Infrastructures ◽

Open Geospatial Consortium ◽

Spatial Data Infrastructures ◽

Spatio Temporal

This work presents the development of an efficient tool for managing, visualizing, analysing, and integrating with other data sources, the deformation time-series obtained by applying the advanced differential interferometric synthetic aperture radar (DInSAR) techniques. To implement such a tool we extend the functionalities of GeoNode, which is a web-based platform providing an open source framework based on the Open Geospatial Consortium (OGC) standards, that allows development of Geospatial Information Systems (GIS) and Spatial Data Infrastructures (SDI). In particular, our efforts have been dedicated to enable the GeoNode platform to effectively analyze and visualize the spatio/temporal characteristics of the DInSAR deformation time-series and their related products. Moreover, the implemented multi-thread based new functionalities allow us to efficiently upload and update large data volumes of the available DInSAR results into a dedicated geodatabase. The examples we present, based on Sentinel-1 DInSAR results relevant to Italy, demonstrate the effectiveness of the extended version of the GeoNode platform.

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From Spatial Data Infrastructures to Data Spaces—A Technological Perspective on the Evolution of European SDIs

ISPRS International Journal of Geo-Information ◽

10.3390/ijgi9030176 ◽

2020 ◽

Vol 9 (3) ◽

pp. 176 ◽

Cited By ~ 4

Author(s):

Alexander Kotsev ◽

Marco Minghini ◽

Robert Tomas ◽

Vlado Cetl ◽

Michael Lutz

Keyword(s):

Spatial Data ◽

The European Union ◽

The Public ◽

Legal Provisions ◽

Emerging Trends ◽

Technological Developments ◽

Data Infrastructures ◽

Spatial Data Infrastructures ◽

High Level

The availability of timely, accessible and well documented data plays a central role in the process of digital transformation in our societies and businesses. Considering this, the European Commission has established an ambitious agenda that aims to leverage on the favourable technological and political context and build a society that is empowered by data-driven innovation. Within this context, geospatial data remains critically important for many businesses and public services. The process of establishing Spatial Data Infrastructures (SDIs) in response to the legal provisions of the European Union INSPIRE Directive has a long history. While INSPIRE focuses mainly on ’unlocking’ data from the public sector, there is need to address emerging technological trends, and consider the role of other actors such as the private sector and citizen science initiatives. The objective of this paper, given those bounding conditions is twofold. Firstly, we position SDI-related developments in Europe within the broader context of the current political and technological scenery. In doing so, we pay particular attention to relevant technological developments and emerging trends that we see as enablers for the evolution of European SDIs. Secondly, we propose a high level concept of a pan-European (geo)data space with a 10-year horizon in mind. We do this by considering today’s technology while trying to adopt an evolutionary approach with developments that are incremental to contemporary SDIs.

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SemantiX: a cross-sensor semantic EO data cube to open and leverage AVHRR time-series and essential climate variables with scientists and the public

10.5194/egusphere-egu21-12722 ◽

2021 ◽

Author(s):

Hannah Augustin ◽

Martin Sudmanns ◽

Helga Weber ◽

Andrea Baraldi ◽

Stefan Wunderle ◽

...

Keyword(s):

Remote Sensing ◽

Time Series ◽

Research Group ◽

Data Cube ◽

Climate Variables ◽

The Public ◽

Spatio Temporal ◽

University Of Bern ◽

The University ◽

Avhrr Imagery

Long time series of essential climate variables (ECVs) derived from satellite data are key to climate research. SemantiX is a research project to establish, complement and expand Advanced Very High Resolution Radiometer (AVHRR) time series using Copernicus Sentinel-3 A/B imagery, making them and derived ECVs accessible using a semantic Earth observation (EO) data cube. The Remote Sensing Research Group at the University of Bern has one of the longest European times series of AVHRR imagery (1981-now). Data cube technologies are a game changer for how EO imagery are stored, accessed, and processed. They also establish reproducible analytical environments for queries and information production and are able to better represent multi-dimensional systems. A semantic EO data cube is a newly coined concept by researchers at the University of Salzburg referring to a spatio-temporal data cube containing EO data, where for each observation at least one nominal (i.e., categorical) interpretation is available and can be queried in the same instance (Augustin et al. 2019). Offering analysis ready data (i.e., calibrated and orthorectified AVHRR Level 1c data) in a data cube along with semantic enrichment reduces barriers to conducting spatial analysis through time based on user-defined AOIs.This contribution presents a semantic EO data cube containing selected ECV time series (i.e., snow cover extent, lake surface water temperature, vegetation dynamics) derived from AVHRR imagery (1981-2019), a temporal and spatial subset of AVHRR Level 1c imagery (updated after H&#252;sler et al. 2011) from 2016 until 2019, and, for the later, semantic enrichment derived using the Satellite Image Automatic Mapper (SIAM). SIAM applies a fully automated, spectral rule-based routine based on a physical-model to assign spectral profiles to colour names with known semantic associations; no user parameters are required, and the result is application-independent (Baraldi et al. 2010). Existing probabilistic cloud masks (Musial et al. 2014) generated by the Remote Sensing Research Group at the University of Bern are also included as additional data-derived information to support spatio-temporal semantic queries. This implementation is a foundational step towards the overall objective of combining climate-relevant AVHRR time series with Sentinel-3 imagery for the Austrian-Swiss alpine region, a European region that is currently experiencing serious changes due to climate change that will continue to create challenges well into the future.Going forward, this semantic EO data cube will be linked to a mobile citizen science smartphone application. For the first time, scientists in disciplines unrelated to remote sensing, students, as well as interested members of the public will have direct and location-based access to these long EO data time series and derived information. SemantiX runs from August 2020-2022 funded by the Austrian Research Promotion Agency (FFG) under the Austrian Space Applications Programme (ASAP 16) (project #878939) in collaboration with the Swiss Space Office (SSO).

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