2019-06-25, 12:15–12:30, Room 2
Agriculture is established as an engine of the Brazilian economy, thus constantly requiring updates on the decision-making tools. Geographic Information Systems (GIS) are increasingly established as a primary support for analysis in the field, both because of the high potential in data representation and in the implementation of new solutions. This short talk aims to show how to simple apply the Python Programming Language, commonly used among GIS developers, to analyze agricultural variables among ordinary users, who need a logical sequence for a fast spatial representation of data.
In addition to a brief overview of the current scenario and the importance of agriculture in the context, it will be show the creation of codes and logical sequencing of the steps, a process from the insertion of data to its exit as a thematic map of the variable chosen.
Baixio do Irecê Irrigation Perimeter in the state of Bahia, Brazil, were used as a study case. This perimeter is designated to agricultural exploration and has great visibility for the rulers. It is also initiated a reflection of the wide range of possibilities that can be introduced through the implementation of new tools through Python as well as improvements that can be do in the codes and processes.
The short talk will be conduced in 4 steps, showing below.
- Introduction - Why using Python in GIS
- Brief Overview - Importance of automation the process
- Applying Python - Study case in the Baixio do Irecê Irrigation Perimeter