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    <title>Web App | BGeo</title>
    <link>https://admiring-meitner-2fc463.netlify.app/tag/web-app/</link>
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    <description>Web App</description>
    <generator>Source Themes Academic (https://sourcethemes.com/academic/)</generator><language>en-us</language><copyright>copyright ©2020HectorBaez</copyright><lastBuildDate>Sat, 21 May 2022 00:00:00 +0000</lastBuildDate>
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      <title>Web App</title>
      <link>https://admiring-meitner-2fc463.netlify.app/tag/web-app/</link>
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    <item>
      <title>Multivariate Analysis Web App</title>
      <link>https://admiring-meitner-2fc463.netlify.app/project/multivariate/</link>
      <pubDate>Sat, 21 May 2022 00:00:00 +0000</pubDate>
      <guid>https://admiring-meitner-2fc463.netlify.app/project/multivariate/</guid>
      <description>


&lt;p&gt;A basic web app to test a multivariate analysis with the files result of a post-processing analysis with satellite images. The application accept a (.pos) file to run the process.&lt;/p&gt;
&lt;div class=&#34;figure&#34;&gt;
&lt;img src=&#34;main.PNG&#34; alt=&#34;&#34; /&gt;
&lt;p class=&#34;caption&#34;&gt;Control Panel&lt;/p&gt;
&lt;/div&gt;
&lt;p&gt;The app shows a basic statistical description with the main values as box plots and histograms. In the processing threshold panel, we run a Mahalanobis algorithm to identify outliers in the data.&lt;/p&gt;
&lt;div class=&#34;figure&#34;&gt;
&lt;img src=&#34;maha.PNG&#34; alt=&#34;&#34; /&gt;
&lt;p class=&#34;caption&#34;&gt;Outliers&lt;/p&gt;
&lt;/div&gt;
&lt;p&gt;Finally, in the adjusted data panel we get the results of statistics-adjusted data and their respective plots of the final output. The app allows downloading the output data in a (.csv) file.&lt;/p&gt;
&lt;div class=&#34;figure&#34;&gt;
&lt;img src=&#34;final.PNG&#34; alt=&#34;&#34; /&gt;
&lt;p class=&#34;caption&#34;&gt;Results&lt;/p&gt;
&lt;/div&gt;
</description>
    </item>
    
    <item>
      <title>Web App for Events Interpolation (Drone Images)</title>
      <link>https://admiring-meitner-2fc463.netlify.app/project/satellitalnterpolation/</link>
      <pubDate>Wed, 09 Mar 2022 00:00:00 +0000</pubDate>
      <guid>https://admiring-meitner-2fc463.netlify.app/project/satellitalnterpolation/</guid>
      <description>


&lt;p&gt;This web app allows you to interpolate events by uploading the corresponding “.mrk” and “.pos” files product of the post-processing kinematic (PPK).&lt;/p&gt;
&lt;p&gt;The app currently accepts three different models of inputs (UAV). The main inputs correspond with the files .pos and .mrk and the corresponding Drone images.&lt;/p&gt;
&lt;div class=&#34;figure&#34;&gt;
&lt;img src=&#34;inputs.PNG&#34; alt=&#34;&#34; /&gt;
&lt;p class=&#34;caption&#34;&gt;Control Panel&lt;/p&gt;
&lt;/div&gt;
&lt;p&gt;The final product can be downloaded in a .txt format or .kml and it allows a quick quality check of the home point. The app also allows interaction with the final data in an interactive map and a table.&lt;/p&gt;
&lt;div class=&#34;figure&#34;&gt;
&lt;img src=&#34;inputs.PNG&#34; alt=&#34;&#34; /&gt;
&lt;p class=&#34;caption&#34;&gt;Output results&lt;/p&gt;
&lt;/div&gt;
</description>
    </item>
    
    <item>
      <title>App Ubícame</title>
      <link>https://admiring-meitner-2fc463.netlify.app/project/ubicame/</link>
      <pubDate>Sat, 10 Jul 2021 00:00:00 +0000</pubDate>
      <guid>https://admiring-meitner-2fc463.netlify.app/project/ubicame/</guid>
      <description>


&lt;p&gt;Web app deployed using R shiny and a MySQL database to show the main customer data from different departments in Lima Perú. The relational database is composed of more than 100,000 customer addresses.&lt;/p&gt;
&lt;div class=&#34;figure&#34;&gt;
&lt;img src=&#34;database.JPG&#34; alt=&#34;&#34; /&gt;
&lt;p class=&#34;caption&#34;&gt;Control Panel&lt;/p&gt;
&lt;/div&gt;
&lt;p&gt;The app allows the suppliers to create clusters and filter data according to polygon data previously uploaded. The app also allows drawing a polygon by hand to filter data.
&lt;img src=&#34;polygon2.JPG&#34; alt=&#34;Control Panel&#34; /&gt;&lt;/p&gt;
&lt;p&gt;The app allows multiple formats of spatial data like: shapefile, json, mapingo files and KML. The administrators can upload new customer data using .txt files or typing data.&lt;/p&gt;
&lt;div class=&#34;figure&#34;&gt;
&lt;img src=&#34;polygon.JPG&#34; alt=&#34;&#34; /&gt;
&lt;p class=&#34;caption&#34;&gt;Control Panel&lt;/p&gt;
&lt;/div&gt;
&lt;p&gt;The app allows multiple spatial data formats like shapefile, JSON, MapInfo files and KML. The administrators can upload new customer data using .txt files or typing data.&lt;/p&gt;
</description>
    </item>
    
    <item>
      <title>Web App for GTFS visualization</title>
      <link>https://admiring-meitner-2fc463.netlify.app/project/gtfsvisulizer/</link>
      <pubDate>Sat, 10 Jul 2021 00:00:00 +0000</pubDate>
      <guid>https://admiring-meitner-2fc463.netlify.app/project/gtfsvisulizer/</guid>
      <description>


&lt;p&gt;A pilot web app to read GTFS (.zip) files and show the spatial objects in a map with features like filters and search buttons to manage data efficiently. The application will also allow running some basic validations to identify missing required fields or files in the GTFS.&lt;/p&gt;
&lt;div class=&#34;figure&#34;&gt;
&lt;img src=&#34;map.JPG&#34; alt=&#34;&#34; /&gt;
&lt;p class=&#34;caption&#34;&gt;Base de datos&lt;/p&gt;
&lt;/div&gt;
&lt;p&gt;The app is connected to a relational database with the required datasets, the idea it’s to include the main fields and datasets of the &lt;a href=&#34;https://developers.google.com/transit/gtfs/reference&#34;&gt;reference page&lt;/a&gt;.&lt;/p&gt;
&lt;p&gt;New features are coming soon. The idea is to have an application in which a user can upload a GTFS (.zip) file and run processes. New features will be implemented according to different needs.&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Calculate travel times&lt;/li&gt;
&lt;li&gt;Analyze route frequency and headways&lt;/li&gt;
&lt;li&gt;Analyze calendar data&lt;/li&gt;
&lt;li&gt;Create timetables for stops&lt;/li&gt;
&lt;/ul&gt;
&lt;div class=&#34;figure&#34;&gt;
&lt;img src=&#34;travelTime.JPG&#34; alt=&#34;&#34; /&gt;
&lt;p class=&#34;caption&#34;&gt;Base de datos&lt;/p&gt;
&lt;/div&gt;
&lt;div class=&#34;figure&#34;&gt;
&lt;img src=&#34;calendar.JPG&#34; alt=&#34;&#34; /&gt;
&lt;p class=&#34;caption&#34;&gt;Base de datos&lt;/p&gt;
&lt;/div&gt;
&lt;p&gt;The progress of the app is available at this &lt;a href=&#34;https://hdata.shinyapps.io/Assesment-map/?_ga=2.52845864.1656723524.1663164552-511744014.1663164552&#34;&gt;Link&lt;/a&gt;. Currently, the app has a visualization interface with basic filter inputs.&lt;/p&gt;
</description>
    </item>
    
    <item>
      <title>Communication and education portal about HIV in Puerto Rico</title>
      <link>https://admiring-meitner-2fc463.netlify.app/project/vih/</link>
      <pubDate>Sun, 06 Jun 2021 00:00:00 +0000</pubDate>
      <guid>https://admiring-meitner-2fc463.netlify.app/project/vih/</guid>
      <description>&lt;p&gt;Web application for the divulgation of data, statistics, articles, and maps about HIV in Puerto Rico. Application developed with PHP, MySQL, javascript, HTML, and CSS. Statistical plots and maps were created using R with packages like leaflet, sf, ggplot2, and plotly.&lt;/p&gt;
&lt;p&gt;This place will allow important conversations on education, eradication of stigma, reduction of gaps in access to services, and support for ending the HIV epidemic in Puerto Rico.&lt;/p&gt;
&lt;p&gt;The link to the page can be found at the following 
&lt;a href=&#34;https://vihpuertorico.com/&#34; target=&#34;_blank&#34; rel=&#34;noopener&#34;&gt;Click here&lt;/a&gt;&lt;/p&gt;
</description>
    </item>
    
    <item>
      <title>Web App for topographic corrections</title>
      <link>https://admiring-meitner-2fc463.netlify.app/project/topo-app/</link>
      <pubDate>Sat, 10 Apr 2021 00:00:00 +0000</pubDate>
      <guid>https://admiring-meitner-2fc463.netlify.app/project/topo-app/</guid>
      <description>&lt;p&gt;Web application for topographic correction through least squares corrections using matrix operations. The application was developed with the R programming language with libraries such as &amp;ldquo;shiny&amp;rdquo; for the creation of the web platform; In addition, packages such as leaflet, sf and ggmap were used for spatial analysis.&lt;/p&gt;
&lt;p&gt;The application has a connection to a database (postgreSQL) in order to collect and save the data uploaded by users. The application can be consulted in the following 
&lt;a href=&#34;http://ec2-3-128-156-102.us-east-2.compute.amazonaws.com/topo_app/&#34; target=&#34;_blank&#34; rel=&#34;noopener&#34;&gt;link&lt;/a&gt;&lt;/p&gt;
</description>
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