Podporna aplikacija za ornitologe

HAMERŠAK, BOJAN (author), Smrdel, Aleš (mentor)

Cilj diplomske naloge je bil razviti podporno spletno aplikacijo za ornitologe, ki je namenjena predvsem amaterskim opazovalcem ptic. Njeni najpomembnejši funkcionalnosti sta nalaganje in deljenje fotografij ptic z ostalimi uporabniki. Pri objavi fotografije lahko določimo tudi njeno lokacijo nastanka. Uporabniki lahko tako hitreje identificirajo lokacijo, kjer bi morda lahko opazili določeno vrsto ptice. Pregledovanje zbirke ptic je mogoče na zemljevidu ali pa po seznamu. Na voljo je več filtrov, s katerimi si lahko skrčimo iskanje. Aplikacija omogoča tudi pregledovanje redov in vrst ptic, s čimer si lahko uporabniki pomagajo pri določitvi vrste ptice. Aplikacija je izdelana tako, da se prikaz uporabniškega vmesnika prilagaja velikosti zaslona naprave. Strežniški del aplikacije je bil izdelan v jeziku C# z uporabo ogrodja ASP.NET Core MVC. Za odjemalski del so bile uporabljene standardne tehnologije HTML, CSS, JavaScript ter storitev Google Maps za prikaz lokacij nastanka fotografij.

• Language: Slovenian
• Keywords: spletna aplikacija, ornitologija, slike, odzivni dizajn, model-pogled-krmilnik, Google Maps
• Work type: Bachelor thesis/paper
• Organization: FRI - Faculty of Computer and Information Science
• Year: 2017
• PID: 20.500.12556/RUL-97812
• Publication date in RUL: 14.11.2017

Secondary language

• Language: English
• Title: Support application for ornithologists

Abstract

The goal of this BSc thesis was to develop support web application for ornithologists intended primarily for amateur bird observers. Its most important functionalities are uploading and sharing photographs with other users. When uploading a photograph we can also set the place of origin, which enables users to more quickly identify the location where specific species of birds can be spotted. The application enables user to overview photographs using either a map or a list. Different filters are available, which can help in narrowing the search. The application also facilitates inspecting the orders and species of the birds, which helps users when determining the species. Application's user interface adapts to the size of the device screen. The server side of the application was developed in C# using the ASP.NET Core MVC framework. For the client side HTML, CSS and JavaScript were used along with the Google Maps service for displaying the location of the photographs' origin.

• Keywords: web application, ornithology, pictures, responsive design, model-view-controller, Google Maps