Description Usage Arguments Value Author(s) References See Also Examples
Comparison of two existing Huff model objects with respect to changes in total market areas
1 | huff.comp(huffmodel1, huffmodel2)
|
huffmodel1 |
Object ( |
huffmodel2 |
Object ( |
A data frame
(invisible) with one row for each j destination and their total market area values from Huff model 1 and 2, respectively, and the corresponding total, share and percentage changes
Thomas Wieland
Huff, D. L. (1962): “Determination of Intra-Urban Retail Trade Areas”. Los Angeles : University of California.
Huff, D. L. (1963): “A Probabilistic Analysis of Shopping Center Trade Areas”. In: Land Economics, 39, 1, p. 81-90.
Huff, D. L. (1964): “Defining and Estimating a Trading Area”. In: Journal of Marketing, 28, 4, p. 34-38.
Loeffler, G. (1998): “Market areas - a methodological reflection on their boundaries”. In: GeoJournal, 45, 4, p. 265-272.
Wieland, T. (2015): “Nahversorgung im Kontext raumoekonomischer Entwicklungen im Lebensmitteleinzelhandel - Konzeption und Durchfuehrung einer GIS-gestuetzten Analyse der Strukturen des Lebensmitteleinzelhandels und der Nahversorgung in Freiburg im Breisgau”. Projektbericht. Goettingen : GOEDOC, Dokumenten- und Publikationsserver der Georg-August-Universitaet Goettingen. http://webdoc.sub.gwdg.de/pub/mon/2015/5-wieland.pdf.
Wieland, T. (2017): “Market Area Analysis for Retail and Service Locations with MCI”. In: The R Journal, 9, 1, p. 298-323. https://journal.r-project.org/archive/2017/RJ-2017-020/RJ-2017-020.pdf.
Wieland, T. (2018): “Competitive locations of grocery stores in the local supply context - The case of the urban district Freiburg-Haslach”. In: European Journal of Geography, 9, 3, p. 98-115.
huff
, huff.newdest
, huff.updest
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 | # Compilation of tcmat list from existing datasets:
# (Results from the tcmat.create function)
data(Haslach_tcmatAirline)
# airline distances
data(Haslach_coords_origins)
# Coordinates of origins
data(Haslach_coords_destinations)
# Coordinates of destinationes
# Component "tc.mode":
Airline_tc.mode <- list()
Airline_tc.mode$tc.type = "airline"
Airline_tc.mode$tc.unit = "km"
Airline_tc.mode$tc.constant = 0
# tcmat with airline distances
# Compilation as a list:
tcmat_haslach_airline <- list(tcmat = Haslach_tcmatAirline,
coords_origins = Haslach_coords_origins,
coords_destinations = Haslach_coords_destinations,
tc.mode = Airline_tc.mode)
Drvtime_tc.mode <- list()
Drvtime_tc.mode$tc.type = "street"
Drvtime_tc.mode$tc.unit = "min"
Drvtime_tc.mode$tc.constant = 0
data(Haslach_tcmatDrvtime)
# car driving times
# tcmat with car driving times
# Compilation as a list:
tcmat_haslach_drvtime <- list(tcmat = Haslach_tcmatDrvtime,
coords_origins = Haslach_coords_origins,
coords_destinations = Haslach_coords_destinations,
tc.mode = Drvtime_tc.mode)
data(HaslachDistricts)
# IDs and information about customer origins
data(HaslachStores)
# IDs and information about destinations (grocery stores)
huffmodel1 <- huff (HaslachDistricts$WO, HaslachDistricts$WO_Einwohner,
HaslachStores$LM, HaslachStores$LM_VKF,
tcmat = tcmat_haslach_airline)
# Huff Model with standard parameters
# uses given transport costs matrix (tcmat_haslach_airline)
huffmodel1a <- huff (HaslachDistricts$WO, HaslachDistricts$WO_Einwohner,
HaslachStores$LM, HaslachStores$LM_VKF,
tcmat = tcmat_haslach_airline,
atype = "pow", gamma = 0.9, dtype = "pow", lambda = -2.1)
# Alternative weighting parameters
huff.comp(huffmodel1, huffmodel1a)
# Comparinf results of huffmodel1 and huffmodel1a
## Not run:
huffmodel2 <- huff.newdest(huffmodel1, newdest.id = "LM_NEU",
newdest.addr = "Bettackerstrasse 3, Freiburg, Germany",
newdest.attract = 1500)
# Adding a new destination with a given street address
# Recalculation of the Huff Model
# Needs internet access and accesses OpenStreetMap server(s)
# If server not available, the function will produce an error
## End(Not run)
huffmodel3 <- huff.updest (huffmodel1, dest.id = "LM01",
dest.attrac = 1200)
# Update the attraction value of one grocery stores
# Recalculation of the Huff Model
## Not run:
model.export(huffmodel3, "interactionmatrix", "totals")
# export as CSV files
## End(Not run)
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