scholarly journals Integrating GIScience and Crop Science datasets: a study involving genetic, geographic and environmental data

2017 ◽  
Author(s):  
Roberto Santos ◽  
Adam Algar ◽  
Richard Field ◽  
Sean Mayes
Keyword(s):  
Information Science ◽  
Geographic Location ◽  
Environmental Data ◽  
Anthropogenic Factors ◽  
Geospatial Information ◽  
Location Data ◽  
Body Of Knowledge ◽  
Crop Science ◽  
Combining Data ◽  
Individual Body

Sharing and reusing data in research is a welcome and encouraged practice since it maximises the scientific outcomes given limited financial, material and human resources. Interdisciplinary research is considered to benefit from this practice, uniting researchers and data from two or more disciplines to advance fundamental understanding or tackle problems whose solution is beyond the limit of an individual body of knowledge. Here we discuss the challenges of combining data across disciplines, focusing in particular on associating geographic location data with genetic data in the context of a project involving Crop Science and Geospatial Information Science disciplines. This project aims to improve understanding of how geographical, environmental and anthropogenic factors affect the genetic variation in a neglected and underutilised crop called Bambara groundnut.

scholarly journals Integrating GIScience and Crop Science datasets: a study involving genetic, geographic and environmental data

2017 ◽  
Author(s):  
Roberto Santos ◽  
Adam Algar ◽  
Richard Field ◽  
Sean Mayes
Keyword(s):  
Information Science ◽  
Geographic Location ◽  
Environmental Data ◽  
Anthropogenic Factors ◽  
Geospatial Information ◽  
Location Data ◽  
Body Of Knowledge ◽  
Crop Science ◽  
Combining Data ◽  
Individual Body

Sharing and reusing data in research is a welcome and encouraged practice since it maximises the scientific outcomes given limited financial, material and human resources. Interdisciplinary research is considered to benefit from this practice, uniting researchers and data from two or more disciplines to advance fundamental understanding or tackle problems whose solution is beyond the limit of an individual body of knowledge. Here we discuss the challenges of combining data across disciplines, focusing in particular on associating geographic location data with genetic data in the context of a project involving Crop Science and Geospatial Information Science disciplines. This project aims to improve understanding of how geographical, environmental and anthropogenic factors affect the genetic variation in a neglected and underutilised crop called Bambara groundnut.

scholarly journals Integrating GIScience and Crop Science datasets: a study involving genetic, geographic and environmental data

2016 ◽  
Author(s):  
Roberto Santos ◽  
Adam Algar ◽  
Richard Field ◽  
Sean Mayes
Keyword(s):  
Information Science ◽  
Geographic Location ◽  
Environmental Data ◽  
Geospatial Information ◽  
Location Data ◽  
Body Of Knowledge ◽  
Crop Science ◽  
Combining Data ◽  
Fundamental Understanding ◽  
Individual Body

Sharing and reusing data in research is a welcome and encouraged practice since it maximises the scientific outcomes given limited financial, material and human resources. Interdisciplinary research is considered to benefit from this practice, uniting researchers and data from two or more disciplines to advance fundamental understanding or tackle problems whose solution is beyond the limit of an individual body of knowledge. Here we discuss the challenges of combining data across disciplines, focusing in particular on associating geographic location data with genetic data in the context of a project involving Crop Science and Geospatial Information Science disciplines. This project aims to improve understanding of how geographical, environmental and anthropocentric factors affect the genetic variation in a neglected and underutilised crop called Bambara groundnut.

scholarly journals Integrating GIScience and Crop Science datasets: a study involving genetic, geographic and environmental data

2016 ◽  
Author(s):  
Roberto Santos ◽  
Adam Algar ◽  
Richard Field ◽  
Sean Mayes
Keyword(s):  
Information Science ◽  
Geographic Location ◽  
Environmental Data ◽  
Geospatial Information ◽  
Location Data ◽  
Body Of Knowledge ◽  
Crop Science ◽  
Combining Data ◽  
Fundamental Understanding ◽  
Individual Body

Sharing and reusing data in research is a welcome and encouraged practice since it maximises the scientific outcomes given limited financial, material and human resources. Interdisciplinary research is considered to benefit from this practice, uniting researchers and data from two or more disciplines to advance fundamental understanding or tackle problems whose solution is beyond the limit of an individual body of knowledge. Here we discuss the challenges of combining data across disciplines, focusing in particular on associating geographic location data with genetic data in the context of a project involving Crop Science and Geospatial Information Science disciplines. This project aims to improve understanding of how geographical, environmental and anthropocentric factors affect the genetic variation in a neglected and underutilised crop called Bambara groundnut.

scholarly journals Integrating GIScience and Crop Science datasets: a study involving genetic, geographic and environmental data

2016 ◽  
Author(s):  
Roberto Santos ◽  
Adam Algar ◽  
Richard Field ◽  
Sean Mayes
Keyword(s):  
Information Science ◽  
Genetic Data ◽  
Bambara Groundnut ◽  
Environmental Data ◽  
Data Types ◽  
Geospatial Information ◽  
Body Of Knowledge ◽  
Crop Science ◽  
Fundamental Understanding ◽  
Individual Body

Sharing and reusing data in research is a welcome and encouraged practice since it maximises the scientific outcomes given limited financial, material and human resources. Interdisciplinary research is usually benefitted from this practice, reuniting researchers and data from two or more disciplines to advance fundamental understanding or tackle problems whose solution is beyond the limit of an individual body of knowledge. In this work, we discuss the challenges of associating localisation with other data types, particularly genetic data, in a project involving Crop Science and Geospatial Information Science disciplines that aim to improve the understanding of how geographical, environmental and anthropocentric factors affect the genetic variation in a neglected and underutilised crop called Bambara groundnut.

scholarly journals Map Usage on Smartphones and Acquisition of Spatial Knowledge

2019 ◽  
Vol 1 ◽  
pp. 1-3
Author(s):  
Noriko Shingaki
Keyword(s):  
Information Science ◽  
Dimensional Space ◽  
Cognitive Maps ◽  
Geographic Information ◽  
Spatial Knowledge ◽  
Geospatial Information ◽  
Small Areas ◽  
Spatial Knowledge Acquisition ◽  
First Time ◽  
Research Domain

<p><strong>Abstract.</strong> The study of spatial cognition has been one of important research domain for geographic information science. Recently our circumstance to acquire geographic information have been changed (e. g. Wakabayashi, Itoh, &amp; Nagami, 2011), so It is important to clarify the influence of the environmental change in the acquisition of spatial knowledge.</p><p>In this study we revealed relationships between the tendency to use geospatial information on smartphones and the acquisition of spatial knowledge. Currently, most people own smartphones and obtain transit information from them, such as train transit planners and Google maps, when they visit a place for the first time. The usage of geospatial information on smartphones significantly affects the accuracy of cognitive maps. Maps, including train route maps, present locational information widely, in a two-dimensional space; thus, users can understand the relationships among locations over a wide area. In contrast, the small displays of smartphones permit the concurrent viewing of only small areas of geospatial information. Locational information, such as the results of transportation planner applications, are typically described in a one-dimensional space, from start point to goal point.</p><p>Little is known regarding the effect of accessing geospatial information through smartphones on cognitive maps. The purpose of this study was to determine how people obtain locational information and how the experience of accessing locational information through smartphones affects the acquisition spatial knowledge regarding locations of places. To understand this spatial knowledge acquisition, we conducted two experiments.</p>

Geospatial Influence in Science Mapping

2018 ◽  
pp. 3473-3483
Author(s):  
Carlos Granell-Canut ◽  
Estefanía Aguilar-Moreno
Keyword(s):  
Information Science ◽  
Research Work ◽  
Geospatial Technologies ◽  
Science Mapping ◽  
Geospatial Information ◽  
Geospatial Technology ◽  
Geospatial Mapping

The chapter aims at drawing attention to the possibilities that geospatial technologies can bring to science mapping. In what follows, the chapter briefly distinguishes the notion of mapping between the Geospatial Information Science (GIScience) and Librarianship and Information Science (LIS). Afterwards, an overview about recent initiatives and research work relative to (geospatial) mapping of science is presented. Based on these examples, opportunities and challenges of applying geospatial technology to science mapping are discussed. Finally, based on relevant while evolving geospatial technologies, next steps for increasing up the influence of geospatial technology in science mapping are pointed out.

scholarly journals Exploiting Inter- and Intra-Base Crossing with Multi-Mappings: Application to Environmental Data

2018 ◽  
Vol 2 (3) ◽  
pp. 25 ◽  
Author(s):  
Hicham Hajj-Hassan ◽  
Anne Laurent ◽  
Arnaud Martin
Keyword(s):  
Spatial Location ◽  
Point Of View ◽  
Environmental Data ◽  
Sensor Data ◽  
Global Ocean ◽  
Global Changes ◽  
Geospatial Information ◽  
Multiple Points ◽  
Points Of View ◽  
Single Data

Environmental data are currently gaining more and more interest as they are required to understand global changes. In this context, sensor data are collected and stored in dedicated databases. Frameworks have been developed for this purpose and rely on standards, as for instance the Sensor Observation Service (SOS) provided by the Open GeoSpatial Consortium (OGC), where all measurements are bound to a so-called Feature of Interest (FoI). These databases are used to validate and test scientific hypotheses often formulated as correlations and causality between variables, as for instance the study of the correlations between environmental factors and chlorophyll levels in the global ocean. However, the hypotheses of the correlations to be tested are often difficult to formulate as the number of variables that the user can navigate through can be huge. Moreover, it is often the case that the data are stored in such a manner that they prevent scientists from crossing them in order to retrieve relevant correlations. Indeed, the FoI can be a spatial location (e.g., city), but can also be any other object (e.g., animal species). The same data can thus be represented in several manners, depending on the point of view. The FoI varies from one representation to the other one, while the data remain unchanged. In this article, we propose a novel methodology including a crucial step to define multiple mappings from the data sources to these models that can then be crossed, thus offering multiple possibilities that could be hidden from the end-user if using the initial and single data model. These possibilities are provided through a catalog embedding the multiple points of view and allowing the user to navigate through these points of view through innovative OLAP-like operations. It should be noted that the main contribution of this work lies in the use of multiple points of view, as many other works have been proposed for manipulating, aggregating visualizing and navigating through geospatial information. Our proposal has been tested on data from an existing environmental observatory from Lebanon. It allows scientists to realize how biased the representations of their data are and how crucial it is to consider multiple points of view to study the links between the phenomena.

A Central Database Improves Pipeline Projects

2006 ◽  
Author(s):  
Steve Adam
Keyword(s):  
Information Systems ◽  
Data Integrity ◽  
Environmental Data ◽  
Single Source ◽  
Geospatial Information ◽  
Planning Stage ◽  
Central Database ◽  
Geospatial Information Systems

Pipeline projects see enormous benefit from using geospatial information systems since a pipeline will commonly cover large geographic distances. In doing so, terabytes of engineering, geotechnical, and environmental data can be generated for engineering and regulatory needs. A central database allows the project to organize this information and provide a single source of truth. In fact, the central database is as much a philosophy as it is computer infrastructure. This level of organization allows a project to properly manage change, thus ensuring data integrity and security. When data is reliable and secure, its full value can be realized during the pipeline planning stage and even further leveraged through construction and operation.

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