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