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Checking the "Enable advanced options in modules" box in the Settings module will result in additional options to be accessible to the user across different modules of AccessMod, as shown in the information reported in the following table:

Module/tool

Section

Advanced option

Description

Data

Filter

Show internal data check button

Checking this button will make several types of internal data sets visible to the users (e.g., "friction", "speed", and "landcover merged bridge" raster data sets) in the "Available Data" table. See below for an explanation of these data sets.

Toolbox/Merge land cover

Roads tab

Show checkbox to "Do not add 1000 to class < 1000"

If this button is checked, the values of the road categories (if <1000) will be kept as they are defined in the road layer (and 1000 will not be added to these categories)





Referral

Analysis settings

Optimize dynamically computation according to the scenario

This option limits the computation zone around the current facility. A buffer is first created around the facility, using with the fastest speed of the defined scenario. The footprint of this buffer is then user to crop the mergelandcover, so that the computation is done using a much smaller grid. This can drastically reduce the computation time.

Referral

Analysis settings

Save analysis parameters without computing

This option is use used to prepare the analysis and its configuration file which is then saved, but the analysis is not executed. The configuration file can then be used with the Replay mode.

Referral

Analysis settings

Use 'floor' rounding when converting travel time from seconds to minutes

Historically, AccessMod uses a floor function to convert travel times from seconds to minutes (i.e., 59.9 min → 59 min) to have the travel time rasters s integer raster. This had to be changed to a ceiling function from version 5.8 onward. The default behaviour is now 59.9 min → 60 min. If this floor rounding option is checked, the behaviour gets back to the historical use of the floor function.

The internal data sets are the following

...