PoPS 2.0.0

What's Changed

• Code is using list of suitable cell indices as a spatial index which runs faster. #40 #41
• New code for managing kernels in runtime runs up to four-times faster. #48
• Update citation info. #44 #45

Full Changelog: v1.0.1...v2.0.0

PoPS 1.1.0

Version increase to match a minor release of PoPS Core without updates to in r.pops.spread. Changes included in 2.0.0.

PoPS 1.0.2

Version increase to match a patch release of rpops.

PoPS 1.0.1

This is version 1.0.1 of PoPS with changes to the r.pops.spread GRASS GIS module. The release fixes failure to run without an anthropogenic kernel and improves an annoyance with always requiring parameter which might be unused. More parameter combinations are now tested in CI.

Changed

• natural_direction_strength is no longer required unless natural_direction is used (previously ignored, but required). #37

Fixed

• Code no longer fails when an anthropogenic kernel is not used. #37

PoPS 1.0.0

This is version 1.0.0 of the PoPS Core C++ library and its interfaces: rpops R package and r.pops.spread GRASS GIS module. The release of r.pops.spread includes:

• Susceptible-infected (SI) and susceptible-exposed-infected (SEI) host phases (model_type, latency_period),
• Host mortality tracking (mortality_rate, mortality_series),
• Host removal and pesticide application treatments (treatments, treatment_date, treatment_length),
• Host resistance based on pesticide application treatments (treatment_length > 0),
• Treatments applied only to a ratio of hosts (treatment_application),
• Yearly pest removal based on lethal temperature (lethal_temperature, lethal_month),
• Two different dispersal kernels (natural_dispersal_kernel, anthropogenic_dispersal_kernel),
• Cauchy and exponential radial dispersal kernels,
• Seasonal spread (seasonality in months),
• Multiple stochastic runs (runs),
• Parallel execution of multiple runs (nprocs),
• Output of average infected hosts across multiple runs and for single stochastic run (average, average_series, single_series),
• Standard deviations for output averages (stddev, stddev_series),
• Infection probability output in percent (probability, probability_series),
• Spread rate measurement (spread_rate_output).