In the world of GIS applications, the integrity and accuracy of data are paramount. Here are some best practices to ensure your data is reliable: • Source your data from reputable providers. • Regularly check for the most recent updates. • Monitor the frequency of data updates to maintain application reliability. • Perform thorough data clean-up to display only what's necessary for your objectives. By adhering to these principles, we can make informed decisions that stand the test of time.

Conflicting data sources in GIS can be resolved through a structured approach. Initially, identify the conflicting sources, document their metadata, and understand their formats. Next, validate the data by checking accuracy, consistency, and attribute values, and compare it with field observations or trusted sources. To resolve conflicts, employ techniques such as data prioritization, fusion, reconciliation, normalization, and transformation. Spatial analysis tools like overlay, buffer, and spatial autocorrelation can help identify areas of conflict and patterns. GIS software like ArcGIS, QGIS, and GRASS, data integration tools like FME, and spatial analysis libraries like GDAL and Geopandas can facilitate conflict resolution.

Sería importante evaluar cada fuente de datos, compararlos para reconocer si hay algunos que estén duplicados y luego se podría sintetizar lo mejor posible la información ya que de esa forma garantizamos que nuestro mapa sea entendible por cualquier persona que tenga o no conocimientos en SIG.

Identify the Source of Conflict Data Quality: Assess the accuracy, precision, and reliability of each data source. Temporal Discrepancy: Determine if the data is from different time periods. Spatial Resolution: Consider the scale and level of detail in the data. Projection and Coordinate System: Ensure consistency in the geographic reference system.

Check the metadata of each data source, which includes the capture date, data resolution, equipment, organization, etc. With this information, as a GIS practitioner, I will be able to determine which data suits my project requirements.