def test_threshold_continuousW_from_array(self):
points = [(10, 10), (20, 10), (40, 10), (15, 20), (30, 20), (30, 30)]
wid = pysal.threshold_continuousW_from_array(points, 11.2)
self.assertEquals(wid.weights[0], [0.10000000000000001,
0.089442719099991588])
wid2 = pysal.threshold_continuousW_from_array(points, 11.2, alpha=-2.0)
self.assertEquals(wid2.weights[0], [0.01, 0.0079999999999999984])
def test_threshold_continuousW_from_array(self):
points = [(10, 10), (20, 10), (40, 10), (15, 20), (30, 20), (30, 30)]
wid = pysal.threshold_continuousW_from_array(points, 11.2)
wds = {wid.neighbors[0][i]: v for i, v in enumerate(wid.weights[0])}
self.assertEqual(wds, {1: 0.10000000000000001,
3: 0.089442719099991588})
wid2 = pysal.threshold_continuousW_from_array(points, 11.2, alpha=-2.0)
wds = {wid2.neighbors[0][i]: v for i, v in enumerate(wid2.weights[0])}
self.assertEquals(wid2.weights[0], [0.01, 0.0079999999999999984])
def test_threshold_continuousW_from_array(self):
points = [(10, 10), (20, 10), (40, 10), (15, 20), (30, 20), (30, 30)]
wid = pysal.threshold_continuousW_from_array(points, 11.2)
wds = {wid.neighbors[0][i]: v for i, v in enumerate(wid.weights[0])}
self.assertEqual(wds, {
1: 0.10000000000000001,
3: 0.089442719099991588
})
wid2 = pysal.threshold_continuousW_from_array(points, 11.2, alpha=-2.0)
wds = {wid2.neighbors[0][i]: v for i, v in enumerate(wid2.weights[0])}
self.assertEquals(wid2.weights[0], [0.01, 0.0079999999999999984])
def test_threshold(self):
md = pysal.min_threshold_dist_from_shapefile(self.polyShp)
self.assertEqual(md, 0.61886415807685413)
wid = pysal.threshold_continuousW_from_array(self.points, 11.2)
self.assertEqual(wid.weights[0], [0.10000000000000001,
0.089442719099991588])
wid2 = pysal.threshold_continuousW_from_array(
self.points, 11.2, alpha=-2.0)
self.assertEqual(wid2.weights[0], [0.01, 0.0079999999999999984])
w = pysal.threshold_continuousW_from_shapefile(
self.polyShp, 0.62, idVariable="POLYID")
self.assertEqual(w.weights[1], [1.6702346893743334,
1.7250729841938093])
def test_threshold(self):
md = pysal.min_threshold_dist_from_shapefile(self.polyShp)
self.assertEqual(md, 0.61886415807685413)
wid = pysal.threshold_continuousW_from_array(self.points, 11.2)
self.assertEqual(wid.weights[0], [0.10000000000000001,
0.089442719099991588])
wid2 = pysal.threshold_continuousW_from_array(
self.points, 11.2, alpha=-2.0)
self.assertEqual(wid2.weights[0], [0.01, 0.0079999999999999984])
w = pysal.threshold_continuousW_from_shapefile(
self.polyShp, 0.62, idVariable="POLYID")
self.assertEqual(w.weights[1], [1.6702346893743334,
1.7250729841938093])
def buildWeights(self):
"""Performs Distance-based Weights Creation"""
ARCPY.SetProgressor("default", "Constructing spatial weights object...")
#### Shorthand Attributes ####
distanceType = self.distanceType
threshold = self.threshold
knnNum = self.knnNum
idField = self.idField
outputExt = self.outputExt
ssdo = self.ssdo
#### Create Distance-based WeightObj (0-based IDs) ####
dataArray = ssdo.xyCoords
if distanceType.upper() == DISTTYPE[0]:
weightObj = PYSAL.threshold_binaryW_from_array(dataArray, threshold)
elif distanceType.upper() == DISTTYPE[1]:
weightObj = PYSAL.knnW_from_array(dataArray, knnNum)
elif distanceType.upper() == DISTTYPE[2]:
alpha = -1 * self.inverseDist
weightObj = PYSAL.threshold_continuousW_from_array(\
dataArray, threshold, alpha=alpha)
#### Re-Create WeightObj for NOT 0-based idField ####
if idField:
if ssdo.master2Order.keys() != ssdo.master2Order.values():
o2M = ssdo.order2Master
neighborDict = {o2M[oid] : [o2M[nid] for nid in nbrs] \
for oid,nbrs in weightObj.neighbors.items()}
weightDict = {o2M[oid] : weights \
for oid, weights in weightObj.weights.items()}
weightObj = W(neighborDict, weightDict)
#### Save weightObj Class Object for Writing Result ####
self.weightObj = weightObj
def test_threshold(self):
md = pysal.min_threshold_dist_from_shapefile(self.polyShp)
self.assertEqual(md, 0.61886415807685413)
wid = pysal.threshold_continuousW_from_array(self.points, 11.2)
wds = {wid.neighbors[0][i]: v for i, v in enumerate(wid.weights[0])}
self.assertEqual(wds, {1: 0.10000000000000001,
3: 0.089442719099991588})
wid2 = pysal.threshold_continuousW_from_array(
self.points, 11.2, alpha=-2.0)
wds = {wid2.neighbors[0][i]: v for i, v in enumerate(wid2.weights[0])}
self.assertEqual(wds, {1: 0.01, 3: 0.0079999999999999984})
w = pysal.threshold_continuousW_from_shapefile(
self.polyShp, 0.62, idVariable="POLYID")
wds = {w.neighbors[1][i]: v for i, v in enumerate(w.weights[1])}
self.assertEqual(wds, {2: 1.6702346893743334,
3: 1.7250729841938093})
def test_threshold(self):
md = pysal.min_threshold_dist_from_shapefile(self.polyShp)
self.assertEqual(md, 0.61886415807685413)
wid = pysal.threshold_continuousW_from_array(self.points, 11.2)
wds = {wid.neighbors[0][i]: v for i, v in enumerate(wid.weights[0])}
self.assertEqual(wds, {
1: 0.10000000000000001,
3: 0.089442719099991588
})
wid2 = pysal.threshold_continuousW_from_array(self.points,
11.2,
alpha=-2.0)
wds = {wid2.neighbors[0][i]: v for i, v in enumerate(wid2.weights[0])}
self.assertEqual(wds, {1: 0.01, 3: 0.0079999999999999984})
w = pysal.threshold_continuousW_from_shapefile(self.polyShp,
0.62,
idVariable="POLYID")
wds = {w.neighbors[1][i]: v for i, v in enumerate(w.weights[1])}
self.assertEqual(wds, {2: 1.6702346893743334, 3: 1.7250729841938093})
def buildWeights(self):
"""Performs Distance-based Weights Creation"""
ARCPY.SetProgressor("default",
"Constructing spatial weights object...")
#### Shorthand Attributes ####
distanceType = self.distanceType
threshold = self.threshold
knnNum = self.knnNum
idField = self.idField
outputExt = self.outputExt
ssdo = self.ssdo
#### Create Distance-based WeightObj (0-based IDs) ####
dataArray = ssdo.xyCoords
if distanceType.upper() == DISTTYPE[0]:
weightObj = PYSAL.threshold_binaryW_from_array(
dataArray, threshold)
elif distanceType.upper() == DISTTYPE[1]:
weightObj = PYSAL.knnW_from_array(dataArray, knnNum)
elif distanceType.upper() == DISTTYPE[2]:
alpha = -1 * self.inverseDist
weightObj = PYSAL.threshold_continuousW_from_array(\
dataArray, threshold, alpha=alpha)
#### Re-Create WeightObj for NOT 0-based idField ####
if idField:
if ssdo.master2Order.keys() != ssdo.master2Order.values():
o2M = ssdo.order2Master
neighborDict = {o2M[oid] : [o2M[nid] for nid in nbrs] \
for oid,nbrs in weightObj.neighbors.items()}
weightDict = {o2M[oid] : weights \
for oid, weights in weightObj.weights.items()}
weightObj = W(neighborDict, weightDict)
#### Save weightObj Class Object for Writing Result ####
self.weightObj = weightObj
