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My learning during my training at Rouen, France
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A TOOL USEFUL FOR SELECTION OF COLOURS
FOR THE BLACK AND WHITE PRINTOUTS
% Female Literates - % Children 0-6 yrs age
12
13
14
15
16
17
18
19
10 15 20 25 30 35 40 45
% F Literates
% Female Literates - % Children 0-6 yrs age
12
13
14
15
16
17
18
19
10 15 20 25 30 35 40 45
% F Literates
ANALYSIS OF % OF FEMALE LITERATES & % OF CHILDREN LESS THAN 6 YEARS – MAHABUBNAGAR DISTRICT
% Female Literates - % Children 0-6 yrs age
12
13
14
15
16
17
18
19
10 15 20 25 30 35 40 45
% F Literates
% Female Literates - % Children 0-6 yrs age
12
13
14
15
16
17
18
19
10 15 20 25 30 35 40 45
% F Literates
This analysis was done to see if there is
any positive relationship between the female
literacy and the family planning, with
reference to the 2001 census data of
Mahabubnagar District.
The scatter plots and the trend line graphic
tools were used for this exercise.
Although in some Mandals some positive
correlation trends are observable but are it is
not considerable.
DRINKING WATER ANALYSIS, ANANTHAPUR DISTRICT
0
20
40
60
80
100
120
140
160
180
TOT HAB
0
10
20
30
40
50
60
70
80
90
100AVAIL 50+ AVAIL 50+ BELOW
0
10
20
30
40
50
60
70
80AVAIL 24 TO 49 AVAIL 24 TO 49 BELOW
0
10
20
30
40
50
60
70AVAIL 1 TO 24 AVAIL 1 TO 24 BELOW
The conditional format and bar graphs are used for
classification of adequate, inadequate drinking water
Mandals in Ananthapur District. Finally the Mandals
were divided into 4 classes.
Class 1: <25 lts per day per person. Which are most
important, measures for the availability of drinking water
need to be taken up in these habitations immediately on
priority.
Class 2 : In these Mandals the no. of habitations are more
and proportionately the percentage of villages with water
problem are also high.
Class 3 : In these Mandals the percentage of habitations
with acute problem and also with 25 to 50 lts of PCA are
also more.
Class 4 : These are better off villages; where the
sanitation and protection measures are needed to be take-
up.
31.52 percent of the habitations
are not having safe drinking water
(i.e., >2 ppm of Fluoride). The
fluoride affected habitations are
found spatially distributed as local
geology also plays an important.
FLUORIDE
FLUORIDE EFFECTED HABITATIONS ANANTHAPUR DISTRICT
0
500
1,000
1,500
2,000
2,500
3,000
FL < 0 FL = 2 FL = 3 FL > 4
IN PPM
NO O
F HA
BITA
TIO
NS
The Objective is to identify the seasonality of the occurrence of
diseases and most commonly occurring diseases.
The analysis would be helpful for early planning and mitigation.
All other diseases constitute very high percentage up to 73.52
percent; therefore the conclusions are related to the defined
26.48 percent diseases, which are categorized into 28 types.
For analysis weightage is given to each of the disease and
conditional formatting is done for sorting and classification.
HEALTH DATA ANALYSIS 2001 - ANDHRA PRADESH, INDIA
M J J A S O N D J F M A3 3 4 4 4 3 1 1 2 2 1 2
2 2 4 4 4 3 1 1 2 3 1 3
2 2 3 4 4 4 1 1 1 2 3 3
1 2 3 4 4 4 3 3 2 1 1 2
3 2 3 4 4 4 1 1 2 3 1 2
1 2 3 4 4 4 3 3 1 2 2 1
2 4 2 4 4 3 3 3 1 2 1 1
1 2 4 3 4 4 1 1 3 3 2 2
4 4 3 3 4 3 1 1 1 2 2 2
2 3 3 3 4 4 1 1 2 2 1 4
2 2 3 3 4 4 1 1 3 4 2 1
4 3 2 3 4 4 1 1 1 2 2 3
2 3 2 3 4 1 1 1 4 2 3 4
3 2 1 3 4 2 1 1 4 2 3 4
4 4 3 2 4 2 1 1 3 3 1 2
3 3 4 4 3 4 1 1 2 1 2 2
2 4 4 3 3 4 1 1 1 3 2 2
1 1 2 2 2 3 3 4 1 4 4 3
1 3 4 3 2 3 1 1 2 1 4 4
4 1 1 2 3 2 1 3 2 3 2 4
3 4 4 2 2 1 1 1 3 3 2 4
2 4 2 4 1 4 1 1 3 3 3 2
1 4 2 3 3 2 1 1 3 4 2 4
3 2 4 3 1 2 1 1 4 2 3 4
3 1 4 3 2 2 1 1 4 4 2 3
3 3 4 1 1 1 2 2 4 4 2 3
1 3 1 3 1 1 1 1 4 4 4 3
3 2 3 1 1 2 1 1 4 4 4 3
1 1 3 1 1 1 1 1 4 4 4 3
2 3 4 4 4 3 1 1 2 3 1 2
Acute Diarrhoeal Diseses (Including G.E. & Cholera)AmoebiasisSnake BitesMeningo Coccal MeningitisGonococcal InfectionsHelminthiasisTrachomaAll Other DiseasesMeaselsDiabetic mellitusAcute Respiratory InfectionsEnteric FeverMalariaPulmonary TuberculosisNeoplasamsSyphilisPneumoniaWhooping coughRabiesNeonatal TetanusOther Accidents & InjuriesDiptheriaViral HepatitisIschaemic Heart DiseaseFlurosisJ.E.YawsTetanus other than neonatalAcute Polio Myelitis
It is always preferable to link
the immobile spatial information
to the mobile information.
MOBILE: The things with time
(here about 5 to 10 years are
envisaged) would change.
IMMOBILE: Things remain
static for longer periods of time
for example: Habitation, land,
tank, structure, residence, etc
Arrows indicate the
information is to be linked to.
Mobile - Immobile
SHGs – Watershed
Mobile - Mobile
Input / Output cost - Activity
Immobile - Immobile
Habitation - Watershed structures
Immobile - Mobile
Watershed structure – Member of UG
CODING OF THE SPATIAL INFORMATION AND RELATIONSHIPS
The presentation of the pictures to
the rural people for better
understanding and communication.
These learnings were from the
works of Ms. Levy Renvoisy she
developed the rules for creating
meaningful sketches for information
communication with the rural people.
It helps us to present pictures to the
villagers better for all kinds of
communication, learning and
understanding.
PRESENTATION OF PICTURES
