GIS for Science, Volume 3: Maps for Saving the Planet

2021 ◽  
Keyword(s):  
Spatial Data ◽  
Science Communication ◽  
Data Science ◽  
Research Collaboration ◽  
Satellite Observation ◽  
Natural World ◽  
Gis Mapping ◽  
Marine Policy ◽  
Full Spectrum ◽  
Life On Earth

GIS for Science: Maps for Saving the Planet, Volume 3, highlights real-world examples of scientists creating maps about saving life on Earth and preserving biodiversity. With Earth and the natural world at risk from various forces, geographic information system (GIS) mapping is essential for driving scientifically conscious decision-making about how to protect life on Earth. In volume 3 of GIS for Science, explore a collection of maps from scientists working to save the planet through documenting and protecting its biodiversity. In this volume, learn how GIS and data mapping are used in tandem with: global satellite observation forestry marine policy artificial intelligence conservation biology, and environmental education to help preserve and chronicle life on Earth. This volume also spotlights important global action initiatives incorporating conservation, including Half-Earth, 30 x 30, AI for Earth, the Blue Nature Alliance, and the Sustainable Development Solutions Network. The stories presented in this third volume are ideal for the professional scientist and conservationist and anyone interested in the intersection of technology and the conservation of nature. The book’s contributors include scientists who are applying geographic data gathered from the full spectrum of remote sensing and on-site technologies. The maps and data are brought to life using ArcGIS® software and other spatial data science tools that support research, collaboration, spatial analysis, and science communication across many locations and within diverse communities. The stories shared in this book and its companion website present inspirational ideas so that GIS users and scientists can work toward preserving biodiversity and saving planet Earth before time runs out.

scholarly journals From Single Cells to Flowers – Biological Complexity Driving Plant Reproductive Development

2021 ◽  
Author(s):  
Isabel Schwarz ◽  
Manuel Neumann ◽  
Rosario Vega ◽  
Xiaocai Xu ◽  
Letizia Cornaro ◽  
...  
Keyword(s):  
Science Communication ◽  
Data Science ◽  
Single Cells ◽  
Reproductive Development ◽  
Floral Organ ◽  
Future Research ◽  
High Resolution Data ◽  
Interdisciplinary Approaches ◽  
Share Data ◽  
Plant Reproductive Development

The rise of data science in biology stimulates interdisciplinary collaborations to address fundamental questions. Here, we report the outcome of the first SINFONIA symposium focused on revealing the mechanisms governing plant reproductive development across biological scales. The intricate and dynamic target networks of known regulators of flower development remain poorly understood. To analyze development from the genome to the final floral organ morphology, high-resolution data that capture spatiotemporal regulatory activities are necessary and require advanced computational methods for analysis and modeling. Moreover, frameworks to share data, practices and approaches that facilitate the combination of varied expertise to advance the field are called for. Training young researchers in interdisciplinary approaches and science communication offers the opportunity to establish a collaborative mindset to shape future research.

scholarly journals Open Code is not enough: Towards a replicable future for geographic data science

2019 ◽  
Author(s):  
Levi John Wolf ◽  
Sergio J. Rey ◽  
Taylor M. Oshan
Keyword(s):  
Spatial Data ◽  
Data Science ◽  
Current Model ◽  
Open Science ◽  
Social Changes ◽  
Working Definition ◽  
Geospatial Cyberinfrastructure ◽  
Geographic Data ◽  
Definition Of ◽  
Healthy Part

Open science practices are a large and healthy part of computational geography and the burgeoning field of spatial data science. In many forms, open geospatial cyberinfrastructure adheres to a varying and informal set of practices and codes that empower levels of collaboration that are impossible otherwise. Pathbreaking work in geographical sciences has explicitly brought these concepts into focus for our current model of open science in geography. In practice, however, these blend together into a somewhat ill-advised but easy-to-use working definition of open science: you know open science when you see it (on GitHub). However, open science lags far behind the needs revealed by this level of collaboration. In this paper, we describe the concerns of open geographic data science, in terms of replicability and open science. We discuss the practical techniques that engender community-building in open science communities, and discuss the impacts that these kinds of social changes have on the technological architecture of scientific infrastructure.

scholarly journals Studying behaviours and attitudes towards science and technology

Impact ◽  
2021 ◽  
Vol 2021 (4) ◽  
pp. 27-29
Author(s):  
Naoko Kato-Nitta
Keyword(s):  
Cultural Capital ◽  
Social Stratification ◽  
Science Communication ◽  
Data Science ◽  
Social Scientist ◽  
Science And Technology ◽  
Public Understanding ◽  
Communication Model ◽  
Statistical Mathematics ◽  
Understanding Of Science

What makes research important is an important philosophical question that is a consideration for many researchers. Further important considerations are the public's perception of science and how an individual's perception of science and technology is shaped. These are some of the complex ideas that social scientist Dr Naoko Kato-Nitta, Department of Statistical Data Science, Institute of Statistical Mathematics, Japan, is exploring. She is working on a series of projects related to public perceptions and attitudes towards different scientific disciplines and fields. She hopes that answering such important questions will facilitate the creation of a science communication model for the public understanding of science. Kato-Nitta's research focuses on human behaviour and psychology and how it relates to issues at the interface of technology and society. A key question that she is seeking to answer from the standpoint of cultural capital is how the extent of the general public's participation in science communication can be determined. In the first research to connect social stratification theory and science communication research, Kato-Nitta divided the concept of Bourdieu's cultural capital into two sub-concepts: scientific and technical cultural capital and literary and artistic cultural capital. She went on to consider how these two types of cultural capital affect the exhibit-viewing behaviours of the general public.

scholarly journals Management and Economics: Question of Development Goals

Upravlenie ◽  
2017 ◽  
Vol 5 (2) ◽  
pp. 16-21
Author(s):  
Толкачев ◽  
P. Tolkachev
Keyword(s):  
Natural World ◽  
Complex Nature ◽  
Economic Management ◽  
Common Path ◽  
Fundamental Properties ◽  
Development Goals ◽  
Life On Earth ◽  
Relationship Of ◽  
Large Groups ◽  
The Relationship

The article discusses the relationship of economic management with the economic basis. The thesis is substantiated that effective economic management depends on economic ideal, to which society will strive to achieve. The world surrounding a person constantly retains its essential fundamental properties. And in this way it is perfect. Man spiritually assumes himself above nature. Potentially, he sees himself as a master of the natural world. However, acting in nature as an independent free force, he constantly reveals his imperfect. Because of his limited knowledge of the infinitely complex nature, everything that a person creates is imperfect. The path to perfection is the natural goal of man’s life on earth. However, on this common path, all nations and their large groups – civilizations – are moving along different roads. And in modern conditions, these differences have reached a dangerous feature – more and more the confrontation of civilizations is emerging. The historical feature of the Russian economic worldview is the absolute priority of moral ideals. Its deep economic ideals are not aggressive in relation to other countries and peoples. These ideals are in finding and multiplying of good. Therefore, potentially, Russia can counteract the negative scenario of the development of civilizational conflicts.

CyberGIS and spatial data science

GeoJournal ◽  
2016 ◽  
Vol 81 (6) ◽  
pp. 965-968 ◽  
Author(s):  
Shaowen Wang
Keyword(s):  
Spatial Data ◽  
Data Science

3D modelling of a hydrological structure combining spatial data science and geophysics: Application to a coastal aquifer system in the island of Crete, Greece

2021 ◽  
Author(s):  
Emmanouil Varouchakis ◽  
Leonardo Azevedo ◽  
João L. Pereira ◽  
Ioannis Trichakis ◽  
George P. Karatzas ◽  
...  
Keyword(s):  
Climate Change ◽  
Groundwater Flow ◽  
Spatial Data ◽  
Coastal Aquifer ◽  
Data Science ◽  
Flow Model ◽  
Groundwater Resources ◽  
Geostatistical Simulation ◽  
Groundwater Flow Model ◽  
Aquifer System

<p>Groundwater resources in Mediterranean coastal aquifers are under threat due to overexploitation and climate change impacts, resulting in saltwater intrusion. This situation is deteriorated by the absence of sustainable groundwater resources management plans. Efficient management and monitoring of groundwater systems requires interpreting all sources of available data. This work aims at the development of a set of plausible 3D geological models combining 2D geophysical profiles, spatial data analytics and geostatistical simulation techniques. The resulting set of models represents possible scenarios of the structure of the coastal aquifer system under investigation. Inverted resistivity profiles, along with borehole data, are explored using spatial data science techniques to identify regions associated with higher uncertainty. Relevant parts of the profiles will be used to generate 3D models after detailed Anisotropy and variogram analysis. Multidimensional statistical techniques are then used to select representative models of the true subsurface while exploring the uncertainty space. The resulting models will help to identify primary gaps in existing knowledge about the groundwater system and to optimize the groundwater monitoring network. A comparison with a numerical groundwater flow model will identify similarities and differences and it will be used to develop a typical hydrogeological model, which will aid the management and monitoring of the area's groundwater resources. This work will help the development of a reliable groundwater flow model to investigate future groundwater level fluctuations at the study area under climate change scenarios.</p><p> </p><p>This work was developed under the scope of the InTheMED project. InTheMED is part of the PRIMA programme supported by the European Union’s Horizon 2020 research and innovation programme under grant agreement No 1923.</p>

The Observer Effect: The Artistic Image as a Metaphor for Scientific Interpretations of the Natural World

Leonardo ◽  
2021 ◽  
Vol 54 (1) ◽  
pp. 71-78
Author(s):  
Elena Gubanova
Keyword(s):  
Human Life ◽  
Natural World ◽  
Scientific Study ◽  
Observer Effect ◽  
Time Space ◽  
Artistic Images ◽  
Life On Earth ◽  
Artistic Image ◽  
The Universe

In this article, the author presents some of her artworks in which she created artistic images and interpretations of time, space and light that define human life on Earth. In her multimedia installations of the last 10 years, her interest in the scientific study of the universe has been interwoven with her experience as the daughter of an astronomer. The author and her husband collaborate to express their thoughts on science and philosophy through a combination of art and engineering solutions and technologies.

A Taxonomy for Distance-Based Spatial Join Queries

2017 ◽  
Vol 13 (3) ◽  
pp. 1-24 ◽  
Author(s):  
Lingxiao Li ◽  
David Taniar
Keyword(s):  
Fixed Points ◽  
Spatial Data ◽  
Database Management ◽  
Spatial Databases ◽  
Family Type ◽  
Management Systems ◽  
Data Types ◽  
Full Spectrum ◽  
Spatial Join ◽  
Join Queries

Join operation is one of the most used operations in database management systems, including spatial databases. Hence, spatial join queries are very important in spatial database processing. There are many different kinds of spatial join queries, due to the richness in spatial data types and spatial operations. Therefore, it is important to understand the full spectrum of spatial join queries. The aim of this paper is to give a classification to one family type of spatial join, called the Distance-based Spatial Join. In the taxonomy, the authors divide this spatial join into three categories: (i) AllRange, (ii) All-kNN, and (iii) All-RNN. Each of these categories has its own variants. In this taxonomy, the authors confine the discussions to join queries on fixed points.

scholarly journals A Roadmap for Building Data Science Capacity for Health Discovery and Innovation in Africa

2021 ◽  
Vol 9 ◽  
Author(s):  
Joseph Beyene ◽  
Solomon W. Harrar ◽  
Mekibib Altaye ◽  
Tessema Astatkie ◽  
Tadesse Awoke ◽  
...  
Keyword(s):  
Domain Knowledge ◽  
Data Science ◽  
Clinical Medicine ◽  
Health Care Systems ◽  
Interdisciplinary Approach ◽  
Raw Material ◽  
Full Spectrum ◽  
Technological Advances ◽  
Wide Range ◽  
Care Systems

Technological advances now make it possible to generate diverse, complex and varying sizes of data in a wide range of applications from business to engineering to medicine. In the health sciences, in particular, data are being produced at an unprecedented rate across the full spectrum of scientific inquiry spanning basic biology, clinical medicine, public health and health care systems. Leveraging these data can accelerate scientific advances, health discovery and innovations. However, data are just the raw material required to generate new knowledge, not knowledge on its own, as a pile of bricks would not be mistaken for a building. In order to solve complex scientific problems, appropriate methods, tools and technologies must be integrated with domain knowledge expertise to generate and analyze big data. This integrated interdisciplinary approach is what has become to be widely known as data science. Although the discipline of data science has been rapidly evolving over the past couple of decades in resource-rich countries, the situation is bleak in resource-limited settings such as most countries in Africa primarily due to lack of well-trained data scientists. In this paper, we highlight a roadmap for building capacity in health data science in Africa to help spur health discovery and innovation, and propose a sustainable potential solution consisting of three key activities: a graduate-level training, faculty development, and stakeholder engagement. We also outline potential challenges and mitigating strategies.

scholarly journals Spatial data science for data driven urban planning: The youth economic discomfort index for Rome

2021 ◽  
Vol 2 (3) ◽  
Author(s):  
Iacopo Testi ◽  
◽  
Diego Pajarito ◽  
Nicoletta Roberto ◽  
Carmen Greco ◽  
...  
Keyword(s):  
Urban Planning ◽  
Spatial Data ◽  
Urban Areas ◽  
Data Science ◽  
Composite Index ◽  
Digital Data ◽  
Data Driven ◽  
City Development ◽  
Science Field ◽  
Discomfort Index

Today, a consistent segment of the world’s population lives in urban areas, and this proportion will vastly increase in the next decades. Therefore, understanding the key trends in urbanization, likely to unfold over the coming years, is crucial to the implementation of sustainable urban strategies. In parallel, the daily amount of digital data produced will be expanding at an exponential rate during the following years. The analysis of various types of data sets and its derived applications have incredible potential across different crucial sectors such as healthcare, housing, transportation, energy, and education. Nevertheless, in city development, architects and urban planners appear to rely mostly on traditional and analogical techniques of data collection. This paper investigates the prospective of the data science field, appearing to be a formidable resource to assist city managers in identifying strategies to enhance the social, economic, and environmental sustainability of our urban areas. The collection of different new layers of information would definitely enhance planners' capabilities to comprehend more in-depth urban phenomena such as gentrification, land use definition, mobility, or critical infrastructural issues. Specifically, the research results correlate economic, commercial, demographic, and housing data with the purpose of defining the youth economic discomfort index. The statistical composite index provides insights regarding the economic disadvantage of citizens aged between 18 years and 29 years, and results clearly display that central urban zones and more disadvantaged than peripheral ones. The experimental set up selected the city of Rome as the testing ground of the whole investigation. The methodology aims at applying statistical and spatial analysis to construct a composite index supporting informed data-driven decisions for urban planning.

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