Historical Data Visualization Research Articles

Design and Architecture of BenguetFresh: An IoT-Enabled Data-Driven System for Sustainable Agriculture

Agriculture plays a vital role in the Philippines, contributing significantly to its economy and providing livelihoods to a substantial portion of the population. Benguet province, known as the "Salad Bowl of the Philippines" for its favorable climate and fertile soil, exemplifies thriving agriculture-based livelihoods. However, challenges persist in the sector, with the low compliance rate of Philippine Good Agricultural Practices (PhilGAP) certification highlighting the need for innovative solutions to enhance sustainable practices, market access, and overall agricultural quality for Benguet farmers.
 This study presents the design and architecture of BenguetFresh a system designed to integrate data-driven monitoring and management practices with sustainable agriculture, while adhering to PhilGAP standards. Through stakeholder engagement, interviews, and systematic review, specific requirements and challenges of farmers in Benguet were identified and addressed.
 BenguetFresh employs cutting-edge technology, Arduino-based smart agriculture monitoring systems, enabling real-time data collection on environmental factors. Data analytics tools process this data to provide valuable insights, facilitating informed decision-making and resource optimization.
 The scalable architecture ensures efficient data flow and real-time processing, while user-friendly interfaces empower farmers with real-time and historical data visualization and data-driven recommendations. Furthermore, the integration of e-commerce functionality fosters direct connections between farmers and consumers, expanding market reach and improving economic outcomes.
 BenguetFresh's design and architecture serve as a blueprint for implementing data-driven, sustainable agriculture. The potential benefits extend to both farmers and consumers, ensuring high-quality, responsibly produced agricultural products. Embracing cutting-edge technology and industry standards, BenguetFresh paves the way for efficient, sustainable, and prosperous agriculture.

GIS mapping and visualizing historical data of the Bagi Buldi, Bagi Dilkusho, Bagi Davlet Abad gardens of Amir Temur

The paper is devoted to the geoinformation analysis, processing and visualization of historical data on the gardens of Amir Timur - "Bagi Dilkusho" (translation "Garden that Captivates the Heart"), the garden "Bagi Buldi" ("Garden of Consciousness") and the garden "Bagi Davlet Abad" ("Garden - the Abode of Power"). These were luxurious country gardens with palaces, built in favourable natural and geographical locations of Samarkand along the military and strategic routes of Amir Timur’s campaigns specially for the purpose of his recreation and restoration Using GIS tools, the location of 15 Temurid gardens of the 14th-16th centuries were found. At their historical site, measurements were taken with a Leica TS-02 Plus tacheometer. Thus, the use of GIS tools, the creation of an interactive map of the Timurid gardens of Samarkand, and the compilation of tacheometric and topographic surveys opened up a wide range of data for a more accurate reproduction of the design of these Timurid gardens. As a result, three-dimensional visualizations of the Bagi Dilkusho, Bagi Buldi, and Bagi Davlet-Abad gardens were performed in 3 DS Max programs, and three 3D films were created in the Lumion program.

Descriptive statistics and visualization of historical data on charitable institutions in Eastern Siberia in the 19th century.

The article presents the potential of information technologies and descriptive statistics in solving research problems aimed at revealing the possibility of assessing the effectiveness of accumulated historical experience in such an important area as social work. The purpose of the work is to create tools for a descriptive analysis of historical data on charity institutions in Eastern Siberia XIX century. The methods of research are: data previously collected from diverse archival sources; descriptive statistics in the form of contingency tables and diagrams. The article presents visualized generalized data that allows one to evaluate and interpret the volume, structure and dynamics of charitable assistance in XIX century Eastern Siberia. The subject of the research is institutions of public charity in Eastern Siberia in the 19th century. The novelty and value of the research lies in the original structure of the database, the purpose of which is to systematize and summarize the main characteristics (organizational, financial, socio-demographic) of charitable institutions in their dynamic development and based on a wide range of written sources: office documentation; reference and statistical materials; annals. The specifics of the source base and the goals of the study determined the use of an interdisciplinary approach, which was built primarily on the basis of a synthesis of historical, sociological and information knowledge. Using methods, descriptive statistics and visualization of historical data, the capabilities of the database for systematization, analysis, synthesis and grouping of information are characterized. The study contributes to the elimination of territorial and problematic imbalances in the study of the network of charitable institutions in the Russian Empire, ensures effective systematization of primary information into a database, which is an information product of multi-purpose use, the structure of which is not related to the structure of source documents, and its value as an integral source lies in the subordination content of a specific research problem.

A scalable approach for smart city data platform: Support of real-time processing and data sharing

The concept of a smart city comes with the need to support a data platform that can gather, process and export the data of millions of sensors, coming from different sources, with information in different formats, in a scalable approach for real-time and historical data visualization, processing, and actuation in the city.This paper proposes a Data Platform for the Aveiro Tech City Living Lab, to gather, process, visualize and actuate on mobility, environmental and network data. The architecture of the platform provides a real open platform that is accessible for third-parties to collect data and to experiment their own solutions, through a secure and open data platform at their disposal. The platform was also designed to be scaled and modified when necessary, being composed by distributed solutions across the existent modules. The results with respect to the amount of data gathered, the ingestion and query performance comparison between the persistence solutions considered, and examples of data, show how this platform can be used to efficiently develop new applications and use both real-time and historical data for future predictions and actuations in a smart city.

ICU Cockpit: a platform for collecting multimodal waveform data, AI-based computational disease modeling and real-time decision support in the intensive care unit.

ICU Cockpit: a secure, fast, and scalable platform for collecting multimodal waveform data, online and historical data visualization, and online validation of algorithms in the intensive care unit. We present a network of software services that continuously stream waveforms from ICU beds to databases and a web-based user interface. Machine learning algorithms process the data streams and send outputs to the user interface. The architecture and capabilities of the platform are described. Since 2016, the platform has processed over 89 billion data points (N = 979 patients) from 200 signals (0.5-500Hz) and laboratory analyses (once a day). We present an infrastructure-based framework for deploying and validating algorithms for critical care. The ICU Cockpit is a Big Data platform for critical care medicine, especially for multimodal waveform data. Uniquely, it allows algorithms to seamlessly integrate into the live data stream to produce clinical decision support and predictions in clinical practice.

Пути развития исторической картографии

The article is devoted to the review of the historical cartography development periods in the past and its current state. The study examines the development of historical cartography from traditional meth-ods of creating maps to digital ones. For this purpose, domestic and foreign publications of different years have been collected and studied, publications devoted to analytical reviews of the development of certain areas of historical cartography or the development of historical cartography for certain periods of time, individual historical cartographic works of different years, as well as such works them-selves. The article pays special attention to the current state of digital historical cartography, and also identifies specific examples of the use of GIS technologies in historical cartographic studies of socio-economic phenomena. In the course of the study, the authors applied comparative-historical and analytical-synthetic research methods. As a result, it is concluded that traditional paper maps and atlases were considered as means of providing information and were used in historical research mainly for visualization of historical data. And the use of GIS technologies makes it possible to display historical phenomena in layers, conduct spatial analysis, create derivative maps of geospatial knowledge that display the dynamics of state borders, population migration, etc.

FLOOD RISK VULNERABILITY VISUALIZATION FOR SUSTAINABLE RISK MANAGEMENT - THE CASE OF SERBIA

The main objective of this study is to visualize the flood risk vulnerability of municipalities in the Republic of Serbia through mapping and spatial analysis of precipitation data and data related to the losses. GIS tools enable spatial analysis and visualization of historical data on losses combined with temporal and geo-spatial distribution of precipitation, and QGIS tool was used for visualization of precipitation data and data on damages caused by floods and flash floods. As a result of these analyses, areas with potential high risks of losses are detected, which enables undertaking appropriate steps and measures in order to minimize future losses.

Pervasive environmental sensing for Industry 4.0 as an educational tool

The reduced cost of implementing pervasive industrial sensing networks enables universities to incorporate these tools in engineering curricula. They provide engineering students from increasingly computerized backgrounds, such as mechanical and automotive engineering, the opportunity to work alongside students from technical schools who bring different skill sets than what students may be used to, synthesize historical data, and drive the sensing system’s physical system design and implementation. This paper outlines this convergent curriculum’s initial implementation stage, including the wireless environmental sensing Internet of Things (IoT) network, focusing on laboratory environmental sensing. Students placing many sensors around the lab and on equipment generates a wealth of real-time and historical data for use in the classroom and provides them a tangible example of learning to measure the world around them. This setup parallels the current varied Industry 4.0 state of the manufacturing industry, where Big Data exists but is underutilized, and where additional sensors and intelligent machine data streams are added each year. Students in each class are given a defined portion of a broader roadmap to a fully instrumented and intelligent laboratory environment. In the first step, student-programmed environmental sensors were placed around the lab and provide temperature, humidity, pressure, and gas mixture measures every five minutes. Classroom use of the aggregated data includes visualizing the laboratory and essential equipment’s current status using a Microsoft PowerBI dashboard and historical data visualization and analysis through trend forecasting and outlier detection in Python JupyterLab notebooks. The IoT system’s installation also provided an infrastructure for further study of future student-designed IoT projects.

Classification and Visualization of Alarm Data Based on Heterogeneous Distance

Alarm classification and visualization of historical data is significant and sophisticated in the area of smart management in telecom network due to alarm flood and propagation. In this article, we propose a heterogeneous distance to compute the similarity distance matrix of alarms, which is applied to alarm classification. By using Multidimensional Scaling, alarm data in high dimension is translated into a 2-dimensional graph in alarm windows. Then alarm attention and relation are clearly shown by comparing current and past alarms. Experiments show MDS based on the heterogeneous distance has a better classifying effect than other distance measures. The case study demonstrates the method can show alarm correlation easily and help to locate faults when applied to the analysis of telecom alarm data.

The use of Geographic Information System in the development and utilization of ancient local chronicles

Purpose – The purpose of this paper is to apply Geographic Information System (GIS) in the development and utilization of Chinese ancient local chronicles to achieve the mining and visualization of historical data about products distribution and dispersal in Products in Local Chronicles of Guangdong. Design/methodology/approach – Using 1,756 records of product-related location names in Products in Local Chronicles of Guangdong of the Qing dynasty, which are recognized by a name recognition system, as attribute data; taking the spatial data of Chinese administrative geography of the Qing dynasty in 1820 and the Historical Atlas of China as spatial data; connect the attribute data with relevant spatial data based on the table connection function of Arcmap in Arcgis 8.3 to implement the data management, cartography and analysis. Findings – The application of GIS in the development and utilization of ancient local chronicles was quite successful. With some thematic maps, knowledge about products distribution and dispersal in ancient books was vividly displayed so as to facilitate relevant researches. Research limitations/implications – Only product-related location names inside China were analyzed, not other named entities in local chronicles; and only static visual display was achieved, not dynamic visual display. Historical maps of the world can be used to carry out the visualization of the products distribution and dispersal in the world, and even the visualization of other knowledge, such as poetries and songs scattered over many places in China. The process of products dispersal and the distribution of poetries and songs can be dynamically and visually displayed by pictures, audios, videos, multimedia, etc. Practical implications – By using GIS in the development and utilization of Chinese ancient local chronicles, this paper explores a new way for the collation of ancient books and open up a new area for the research of digital humanities. Originality/value – This is the first try about the application of GIS in the development and utilization of ancient local chronicles, and also the same of digital humanities research in the field of agricultural history.

Political Consequences of Spatial Organization: Contrasting Patterns in Two Nineteenth-Century Small Cities

The unique feature of geographic information systems (GIS) and other forms of historical data visualization is the capacity to hold and display large amounts of data associated with spatial reference points. This software can display all data for a given point, a single variable for all points, or, most important, any combination of variables across all reference points. In doing so, these systems bring to the screen instantly and cheaply a display of information once visible only in paper form, drawn slowly and expensively, first by cartographers and then by vector plotters. This project deploys GIS to help us understand the intersection of social and political life in nineteenth-century Alexandria, Virginia, and Newport, Kentucky—medium-sized cities with populations under 20,000. Commercial Alexandria, with a race-based labor system, and industrial Newport, with an immigrant labor system, present an analytically useful mix of commonalities and differences.

Political Consequences of Spatial Organization

The unique feature of geographic information systems (GIS) and other forms of historical data visualization is the capacity to hold and display large amounts of data associated with spatial reference points. This software can display all data for a given point, a single variable for all points, or, most important, any combination of variables across all reference points. In doing so, these systems bring to the screen instantly and cheaply a display of information once visible only in paper form, drawn slowly and expensively, first by cartographers and then by vector plotters. This project deploys GIS to help us understand the intersection of social and political life in nineteenth-century Alexandria, Virginia, and Newport, Kentucky—medium-sized cities with populations under 20,000. Commercial Alexandria, with a race-based labor system, and industrial Newport, with an immigrant labor system, present an analytically useful mix of commonalities and differences.