<?xml version="1.0" encoding="utf-8" standalone="yes" ?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
  <channel>
    <title>Database | BGeo</title>
    <link>https://admiring-meitner-2fc463.netlify.app/tag/database/</link>
      <atom:link href="https://admiring-meitner-2fc463.netlify.app/tag/database/index.xml" rel="self" type="application/rss+xml" />
    <description>Database</description>
    <generator>Source Themes Academic (https://sourcethemes.com/academic/)</generator><language>en-us</language><copyright>copyright ©2020HectorBaez</copyright><lastBuildDate>Sat, 10 Jul 2021 00:00:00 +0000</lastBuildDate>
    <image>
      <url>https://admiring-meitner-2fc463.netlify.app/images/logo_hu90e04f6382aa5107cc6239426832a163_85197_300x300_fit_lanczos_2.png</url>
      <title>Database</title>
      <link>https://admiring-meitner-2fc463.netlify.app/tag/database/</link>
    </image>
    
    <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>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>
    </item>
    
  </channel>
</rss>
