Mom who Maps

Bohol is admirable as it is uncomplicated. There are surely a lot more places to discover as we're only exploring it for a day. From Cebu, we took an Oceanjet Ferry to Tagbilaran Port and got ourselves ready for the whole day adventure. Here are 8 places and activities that our family enjoyed during our 1-whole day Bohol exploration trip.  BACLAYON CHURCH History is always a first stop and usually on a morning as kids get bored after lunch. There's a tour guide that tells us about the 400 year old history of the church, toured us around the relics and gold and silver statues of Catholic Saints.  The painted ceiling inside the church and it's intricately design altar is a stunner. You will be amazed how in an unassuming place like Bohol such a grandeur was hidden beneath.  BUTTERFLY FARM at Bohol Habitat Conservation Center What's best to educate the kids than to bring them to places where they can see the animals in the

import arcpy # Set the workspace environment arcpy.env.workspace = r"C:\Users\abuelmc\Alignment.gdb" # Get a list of the feature classes in the input folder feature_classes = arcpy.ListFeatureClasses() # Loop through the list for fc in feature_classes: sr = arcpy.SpatialReference( 3123 ) arcpy.DefineProjection_management(fc , sr)

Common quality errors for visual inspection 1. Missing features 2. Redundant feature 3. Misplaced 4. Wrong shape (line and area) 5. Miscoded (wrong attributes) Typical process for visual inspection Determine sampling method Create a sample Inspect sampling record Mark as pass or fail Generate report Determine acceptability Common sampling methods  By Fixed number - randomly choose features based on a fixed number of sample that can be carried out by the team. By grid or polygon - create an index grid and sample features per grid.  By percentage of features - determine the sampling percentage of all features. Amount of features for inspection/QC is based on direct percentage count or applied weights, if there is any. By calculation - determine the statistically significant number of samples at a certain confidence interval, plus or minus the acceptable error. ( Given the sample size, how many features can fail inspection before my entire database fails.