TOOLS: Google Maps and Google Charts are easy and inexpensive tools to help Citizen Observatories do some simple EDA.
TOOL: QGIS is a free and open-source Geographic Information System in which users can access various types of spatial analysis tools for working with their data.
BOOK: Python for data analysis is a useful open-source book on the Python programming language, which can be used to analyse data.
DATA ANALYSIS TOOL: Building on python for data processing, the use of Pandas is one of the most popular choices due to its simplicity and complete ecosystem.
TOOL: The R programming language provides very powerful data analysis tools.
SCIENTIFIC PAPER: The paper “Assess citizen science based land cover maps with remote sensing products: the Ground Truth 2.0 data quality tool” provides information about a tool which shows and compares maps as part of the MiraMon Map Browser.
VIDEO: “How We Did It: Analysing Data” describes data analysis approaches from the different Citizen Observatories in the WeObserve project.
TOOL: The MiraMon Map Browser is a tool for creating visualisations and analysing data that is provided as open-source code.
TOOL: PYBOSSA is a crowdsourcing framework to analyse or enrich data that can’t be processed by machines alone.