Package index
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york - York Listed Buildings.
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york_crime - York Crime Locations.
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max_coverage() - Solve the Maximal Covering Location Problem
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max_coverage_relocation() - Maximum Coverage when considering relocation
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nearest() - Find the nearest lat/long to another lat/long
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nearest_facility_dist() - nearest facility + distance to a user
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facility_user_dist() - facility_user_dist
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facility_user_indic() - facility_user_indic
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spherical_distance() - Calculate the distance between two locations
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spherical_distance_cpp() - Calculate distance using haversines formula
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distance_matrix_cpp() - Create a matrix of distances between two areas
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binary_matrix_cpp() - Create a binary matrix TRUE if distance satisfies a condition
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summarise_coverage() - Summarise coverage
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summary_mc_cv() - Summary for max_coverage cross validation
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extract_mc_results() - (Internal) Summarise maxcovr model using facility and user information
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extract_mc_results_relocation() - (Internal) Summarise maxcovr relocation model with facility and user info
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augment_facility_relocated() - Find distance from relocated and proposed new sites
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augment_user() - Augment users data; add useful information
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augment_user_tested() - Nearest wrapper
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coverage() - Create a summary of the coverage between two dataframes
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summarise_relocated_dist() - Find the average distance from facilities relocated to their final place
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summarise_user_cov() - Summarise the coverage for users
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summary_mc_cv_relocate() - Summary for max_coverage cross validation for relocation models
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deg2rad_cpp() - Convert degrees to radians
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is.maxcovr() - Test if the object is a maxcovr object
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is.maxcovr_relocation() - Test if the object is a maxcovr_relocation object
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n_installed() - Extract the number of facilities installed
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n_relocated() - Extract the number of facilities relocated.
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spherical_distance_cpp_vec() - Calculate (vectorized) distance using haversines formula