DV

1. Determine 4 different spatial weight matrices and calculate the I Moran statistics for variable Donants (Donations to the poor)

	o First-order neighbourhood matrix (queen type)

weights manager->create->select ID variable->CODE_DE->Create->close-> Moran ScatterPlot->Univariate-> Donants

	o Second-row neighbourhood matrix (without lower orders, queen type)

weights manager->create->select ID variable->CODE_DE->Order of contiguity-> 2->Create->close-> Moran ScatterPlot->Univariate-> Donants

	o Second-row neighbourhood matrix (with lower orders,(queen type)

weights manager->create->select ID variable->CODE_DE->Order of contiguity-> 2->include lower orders->Create->close-> Moran ScatterPlot->Univariate-> Donants

	o First-row neighbourhood matrix (rook type)

weights manager->create->select ID variable->CODE_DE->rook contiguity->Create->close-> Moran ScatterPlot->Univariate-> Donants




2. For the matrix of weights with the highest I Moran value:
	o Interpret neighbourhood Moran's statistics
	weak positive spacial autocorrelation

	o Indicate the number of objects located in the HH and LL quadrants

cluster Maps->univariate Local moran I->Donants->Cluster Map

8 i 17

	o How many objects with statistically significant spatial correlation at the level of 0.01 ?

cluster Maps->univariate Local moran I->Donants->Significance Map

3

3. Visualise spatial distribution of variable: Donants, using: Quantile map with 6 intervals,percentile map, natural brakes (6) and standard deviation map. What’s the difference between them?

maps and rates->quantile map->6
maps and rates->percentile map
maps and rates->natural breaks map->6
maps and rates->standard deviation map

in quantile equally distributed
in percentile symmetrical with respect to the centre
in natural breaks intervals are

4. Prepare a conditional map for variable: Donants using population size as a condition

map->conditional map -> Donats, Pop1831, COUNT

5. Prepare an anamorphic chart for variable: Donants, use the same variable for circle colour.

Cartogram -> Donants, Donants


QGIS

1.

Raster Calculator -> ifelse(a=0,0/0,a/100)
dla wszystkich
ifelse(a>25,1,0)*ifelse(b>25,1,0)
ifelse(gt(abs(a-b),3),0,1)* ifelse(gt(abs(a-c),3),0,1)* ifelse(gt(abs(b-c),3),0,1)


TABLAU:
1.     Otwieramy tableau XD
2.    Te negatywne robimy nowe variable x`=1/x jak x = 0 to x'=c-x (c to average lub mean) [na zajeciach robilismy 1-x] - Aids_New, ChildMortality_New, DrugAddiction_New, HepatitisB_New.
Dla kazdej zmiennej (aids, childmortality, drugadd, hep) robimy taka, że 1-ona.
3.    Robimy new calculated field. Dodajemy wszytkie nowe wartosci i Doctors i HospitalBeds - composite indicator. [[Aids_New]+[ChildMortality_New]+[Doctors]+[DrugAdd_New]+[HepatitisB_New]+[Hosptial beds]]
Dodajemy je plus te pozostale.
4.    Przeciagamy Voivodship do columns. Calculated indicator do rows.
5.    Wchodzimy w zakladke Analytics. Przeciagamy Label z napisem Cluster na plansze - tam gdzie sie pojawil wykres. Zamien na kropeczki jak dalej masz te bars dla lamusow. XD
6.    Liczymy SI - Prawym na Clusters w zakladce Marks -> Describe clusters... SI=(b-q)/(max(a,b)) im blizej 1 tym lepiej. To robimy gdy nie jestesmy pewni czy mamy optymalna ilosc clusters, moze moze byc lepiej! :slight_smile:


Jak chcemy relacje lekarzy do jakiejs choroby to lecimy tak:
Przypominam jak chcemy zakolorowac jedna krope to zaznaczamy ja, prawy klik -> group I z prawej strony (mozesz nie widziec jak masz otwarta zakladke Show me) bedziesz widziec to wydzielone cos I "reszte swiata"