STATEMENT OF WORK
Building a data pipeline and workflows to convert spatial data into interactive and 3D formats.
Objective:
· The purpose of this research is to present data in various formats to increase general understanding of information. New technological advancements allow for more user friendly formats, including natural user interfaces, interactive visualization, and 3D printing. This research builds from an existing script which has been found to be too large for the pipeline; therefore, the pipeline must be edited in order to convert spatial data into these newer interactive formats.
Scope:
· As we strive towards our goal of building a data pipeline and workflows capable of converting spatial data into interactive and 3D formats, we will:
o Explore various languages and programs in order to become more familiar with script.
o Explore existing script and convert datasets while documenting use and create tutorials for others to follow and execute.
· This research explores the use of interactive formats.
o Load these formats onto a webpage, and include the uniform resource locator to webpage on poster.
Tasks:
· Become familiar with the platforms and languages in order to explore and utilize the script.
· Select test datasets, convert datasets with existing scripts, while documenting use/tutorial creation for others to follow and utilize.
· Evaluate Python or C++ (preferred language) and create a pseudo code plan for translating the original script to what is needed; refactoring of original script or code.
· Load everything into a repository; and prepare for publication and presentation.
Assumptions:
· The current pipeline is restricted to file sizes of less than 1 GB.
· We expect to need to convert ESRI Shapefiles larger than 1 GB in size.
· Script can be effectively ported to another language.
Deliverables:
· An interactive webpage and a 3D version of data, including an NFC tag that links to any phone or browser when activated.
Objective:
· The purpose of this research is to present data in various formats to increase general understanding of information. New technological advancements allow for more user friendly formats, including natural user interfaces, interactive visualization, and 3D printing. This research builds from an existing script which has been found to be too large for the pipeline; therefore, the pipeline must be edited in order to convert spatial data into these newer interactive formats.
Scope:
· As we strive towards our goal of building a data pipeline and workflows capable of converting spatial data into interactive and 3D formats, we will:
o Explore various languages and programs in order to become more familiar with script.
o Explore existing script and convert datasets while documenting use and create tutorials for others to follow and execute.
· This research explores the use of interactive formats.
o Load these formats onto a webpage, and include the uniform resource locator to webpage on poster.
Tasks:
· Become familiar with the platforms and languages in order to explore and utilize the script.
· Select test datasets, convert datasets with existing scripts, while documenting use/tutorial creation for others to follow and utilize.
· Evaluate Python or C++ (preferred language) and create a pseudo code plan for translating the original script to what is needed; refactoring of original script or code.
· Load everything into a repository; and prepare for publication and presentation.
Assumptions:
· The current pipeline is restricted to file sizes of less than 1 GB.
· We expect to need to convert ESRI Shapefiles larger than 1 GB in size.
· Script can be effectively ported to another language.
Deliverables:
· An interactive webpage and a 3D version of data, including an NFC tag that links to any phone or browser when activated.