NASA World Wind SDK Tutorial

NASA World Wind API

This tutorial will drive you through the beauty and implementation simplicity of the NASA World Wind Java API, going step by step through several examples. It’s intend to be a guide for experienced and also for beginner Java developers, since it covers from the environment configuration until advanced examples. No high advanced programming skills are required, but the basics of object oriented programming and Java.

New tutorials are being developed and added constantly, so stay tuned!

How are the tutorials organized?

Starting from the section Getting Started, every tutorial will contain in its beginning a requirement and in the end the next recommended tutorial. Every tutorial will first make an overview about the topic approached, then explain the source code used step by step and in the end there will be a complete version of the source code (ready for copy & paste to run) with comments to help you better understanding it.

Linked Open Data

Due the efficiency and exponential growth of Linked Open Data in the web, some of the tutorials in this page will approach the visualization of Linked Open Data geographic datasets using NASA World Wind. These tutorials will explain how to setup your Eclipse work environment with Jena, how to deal with Linked Open Data datasets using SPARQL (a recursive acronym for SPARQL Protocol and RDF Query Language) and further on how to visualize these geographic datasets on a NASA World Wind application. The datasets used in these tutorials are part of the Brazilian Amazon Rainforest Dataset and uses the following vocabularies:

OLA – Open Linked Amazon Vocabulary

The Open Linked Amazon vocabulary (OLA) is a Linked Open Data vocabulary aiming to provide statistical and geographical terms such as “hectares”, “plantedArea”, “harvestedArea”, “amountProduced”, “thousandReais” to enable spatio-temporal analysis regarding social and economical facts.

OLA vocabulary was developed to support researches of deforestation in the Brazilian Amazon Rainforest with correlation of social and economical aspects, so that their relevance to the deforestation phenomena can be evaluated.

A separate document specifies the classes and properties introduced by the Open Linked Amazon Vocabulary.

TISC – Time Space Core Vocabulary

The Open Time and Space Core Vocabulary (TISC), is a lightweight spatiotemporal vocabulary aiming to provide spatial and temporal terms such as “happensAt”, “locatedAt”, “rightOf” to enable practitioners to relate their data to time and space. The Open Time and Space Core Vocabulary is based on research about spatial and temporal properties.

An use of both, OLA and TISC, vocabularies can be checked in the following publication:
Kauppinen, de Espindola, Jones, Sánchez, Gräler, Bartoschek – Linked Brazilian Amazon Rainforest Data, Semantic Web Journal.

We wish you lots of fun!