Tutorial
Index
B
binary differences
BoundingBox (PostScript)
C
clgroup
clnewick
cluster
cluster map
cluster map: incremental
cluster
: advanced options
clustering
clustering and multidimensional scaling
clustering: export to Newick tree format
clustering: fuzzy
clustering: group average
clustering: Ward's Method
clustering: weighted average
clusters as differences
composite cluster map
cophenetic difference
cophenetic map
D
den
dendrogram
dialect files
dialect files: re-ordering
dif2tab
difference table: exporting
difference table: missing values
differences: binary
differences: cophenetic
differences: G.I.W.
differences: Gewichteter Identitätswert (G.I.W.)
differences: Levenshtein distance
differences: Levenshtein: Character-based G.I.W.
differences: Levenshtein: measurements based on phonetic features
diffix
difsum
distances: geographic
E
edit distance (Levenshtein distance)
F
features
fuzzy clustering
G
G.I.W.
geographic data
geographic distances
Geographic Information System (GIS)
geographic projection
Gewichteter Identitätswert (G.I.W.)
GIS
giw
Google Earth
group average (clustering)
I
iL04
IPA
K
Kruskal's Method (MDS)
L
LAMSAS
language islands
legend
legend
leven
Levenshtein distance
Levenshtein: Character-based G.I.W.
Levenshtein: indel
Levenshtein: measurements based on phonetic features
Levenshtein: normalisation
Levenshtein: subst
linc
Linguistic Atlas of the Middle and South Atlantic States (LAMSAS)
ll2dst
ll2grid
Local Incoherence
M
mapclust
mapdiff
mapmap
maprgb
maps
maps: geographic data
maps: language islands
mapsetup
mapvec
MDS
mds
MDS and clustering
MDS map
MDS/cluster plot
MDS: exporting
MDS: Kruskal's Method
mdsplot
multidimensional scaling (MDS)
multidimensional scaling and clustering
N
Newick tree format (clustering)
noise: removal
noise: taking advantage of noise
P
perfiles
phonetic features
phonetic transcription
PostScript: BoundingBox
projection (geographic)
R
R
S
SAMPA: X-SAMPA
sound sequences
spreadsheet
sssplit
statistics
string edit distance (Levenshtein distance)
T
tokens
trees: export to Newick format
V
validation
vector map
W
Ward's Method (clustering)
weighted average (clustering)
X
X-SAMPA
xstokens
