NASA space SDM| Show the World the Data!
Project Details
The Challenge | Show the World the Data!
Scientific Density Map
Interactive Nasa World Winds with scientific density graphs and coordinates, correlating with some scientific subject.
ScientificDensity Map
BrunoCidade; Filipe Adrio; Mateus Targino; Matheus Brandão; Pedrofaçanha.
BackgroundWhy did you build this project? What inspired your team to choosethis challenge?
Despiteall the scientific and technological advances, the world still has alot of problems. Identifying these problems is the first step inevolution.
Theseproblems need to be exposed, clarified and understood.Thepossibility of investigating the problem from other angles, fromother authors, from other countries is decisive for the developmentof a more complete research.Oneof the major difficulties during the pre-search process and searchingfor references and journals is the lack of information synthesis andintegration with technological resources.Weoften turn to Scholar Google or magazine-specific sites to find outwhere the leading research centers in particular areas of scienceare. Also, to acquire such information, we need to go througharticles and more articles, migrating from one citation to another.Thesefeatures have the ability to provide scientifically relevant cores oncertain subjects that may be the same subjects you are looking for.These features also provide help in creating correlation and reachingan overview with other factors such as temperature and humidity.Wechose to produce a tool that would give us a global view of numbersof scientific productions related to certain subjects by certaininstitutions. As a result, this tool can be a great bridge to connectscientific communities around the world looking for common interests,and find out in which regions of the world certain subjects are beingresearched more than others, which would serve as dynamic data.important for good public policy implementation.Ourinspirations are many. But we have two more relevant. First, we allneed to know and decide the direction of our academic career and thisinformation could speed up the decision making process. According tous who live science daily we are fighting the spread of false andpost-truth news, science needs to connect and join forces to take amore important position in society because we believe researchers canchange the world. through science.-Connectthe scientific community.-Easysearches of scientific reference centers around the world.-Find out which regions of the world are most interested in specificareas.Whatdoes it do? Does your solution solve the problems posed in thischallenge? What problems and achievements did your team have? Shareall relevant details about your submission. Share failures as well assuccesses if they are interesting.Ourapplication designs a scientific density map over the globe,graphically, iteratively and three-dimensionally demonstrating thelargest scientific research hubs on certain subjects of interest tothe user.
Throughscholar.google search scripts we extract information about theinstitutions that have the most impact on the researched subject andalso which of these articles have the most citations, providing ahigher score for the institution / region and based on this scorefilling larger airlines in NASA API World WindsApplicationflow
1.Choose a subject of interest and search the application.
2.The software will search for journals published on scholar.google andits affiliation.3.The more often an institution (taken from scholar google membershipdata) is collected on a subject, the higher its score on thatsubject. Resulting in points with more highlights on the map. PS:.These data can also scale according to the number of citations fromthe publication in the academic community, we have not yet decided onthe best statistical use to measure this relevance.4.You identify the points of relevance on a particular subject aroundthe globe.Failures
• Wehad a hard time integrating the data we pulled from Scholar googlethrough the scholarly.py parser with the NASA World Winds interface.
• TheNASA World Winds API is very limited. Little versatility for workingwith dynamic shapes in real time.• Therewas a drop in the internet from 06h00 to 08h00.• Wewere unable to use the google APIs for geolocation and crossing dataextracted through the scholarly.py parser.Successes• Miningof Schollar Google information. We were able to use scholarly.pyparser to extract local affiliation and number of citations forscoring
• Relevancevalidation of our End User solution commented by our mentors duringdevelopment• Choiceof the final look of the application aligned with NASA's visualidentity.NASAResources What NASA data and NASA resources did you use in yoursolution? Why did you use these data?
Weuse the NASA World Winds interface to demonstrate the scientificallyimportant density of certain subjects.
Thereason for using NASA World Winds was because it is athree-dimensional, interactive and intuitive application.SpaceApps Offers Did you take advantage of any Offers from Space AppsCollaborators or local sponsors to make your project? What are theyand how helpful are they?
Yes,we requested Sentinel trial account, but chose to realize using theNasa World Winds interface. We also requested the google cloudvoucher to cross geolocation information, but we did not receive thevoucher in time.
FuturePlans How can you improve your project? Do you plan to continueworking on this project after Space Apps 2019?Improvinguser inputs so that the application works to provide a scientificdensity map for any subject. Yes, we plan to continue development toprovide concrete, visually pleasing helpBuiltWith Insert the hardware and software tools you used here. Forexample, what coding languages did you use?
1.Adobe XD
2.Github3.Visual Studio4.Visual Code5.Illustrator6.Python7.Pip8.BeautifulSoup.py9.Scholarly.py10.JavaScript11.HTML & CSS12.Excelhttps://github.com/pedrofac/nasasdm
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