Download - SCCS16 Camera Trapping 4 - Introducing ZSL Camera-Trap Tool.pdf

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Page 1: SCCS16 Camera Trapping 4 - Introducing ZSL Camera-Trap Tool.pdf

19/03/2016

1

ZSL Camera Trap Analysis Tool

RAJAN AMIN – LUCY TALLENTS – TIM WACHER – KEVIN DAVEY

ZSL CAMERA TRAPPING

• BIODIVERSITY SURVEY AND MONITORING

• RESEARCH IN ANALYTICAL METHODS

• TRAINING IN FIELD IMPLEMENTATION

• ANALYTICAL PROCESSING TOOLS

• RANGE OF SPECIES, HABITATS & CONSERVATIONOBJECTIVES

• ALGERIA

• KENYA

• TANZANIA

• LIBERIA

• GUINEA

• NIGER

• SAUDI ARABIA

ZSL CAMERA TRAPPING

• MONGOLIA

• NEPAL

• THAILAND

• INDONESIA

• RUSSIA

• Et al.

KENYA: ADERS’ DUIKER

COASTAL FOREST• Critically endangered species• Poor knowledge of wildlife in the area

NEPAL: TIGER

• National level surveys, highly threatened flagship species

GRASSLAND AND FORESTS

MONGOLIA: GOBI BEAR

DESERT• Highly threatened flagship species• Very little known about it

Page 2: SCCS16 Camera Trapping 4 - Introducing ZSL Camera-Trap Tool.pdf

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ALGERIA – SAHARAN CHEETAHS

Farid Belbachir, Nathalie Pettorelli, Tim Wacher, Amel Belbachir-Bazi, Sarah M. Durant 2015.Monitoring Rarity: The Critically Endangered Saharan Cheetah as a Flagship Species for aThreatened Ecosystem. PLOS ONE | DOI:10.1371/journal.pone.0115136 January 28, 2015

SAUDI ARABIA : ARABIAN GAZELLE

• Highly threatened species• Monitoring reintroduction efforts

Why is an analysis tool needed?

WA La rge-spotte dGene t

0

1

2

3

4

5

6

7

0 2 4 6 8 10 12 14 16 18 20 22

Hr.

Ev

en

ts

Bour lon's Genet

0

12

3

4

56

7

8

0 2 4 6 8 10 12 14 16 18 20 22

Hr.

Ev

en

ts

0

5

10

15

20

25

30

0 10 20 30 40 50 60

Days of Camera trapping

NS

pec

ies

Observed Discovery Rate

Minus 1 sd

Plus 1 s d

Div ersity estimate (Jacknife 1)

MANUAL PROCESSING:MULTI-SPECIES STUDIES

45 cameras x 150days x c.30sp

• Camera arrays – Create very large data sets

• Multiple species

• Multiple data manipulations required

• Lack of central data management system

• High potential for errors in manual data handling

• Files tend to proliferate during manual analysis

• Lack of standardisation in manual analysis

• Very slow, loss of data, incomplete analyses/reports

• No equivalent package available (when projectstarted..)

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What does it do? Phase 1• Targetedat processingdata from camera arrays

• Manages multiplesurveys within a single database

• Calculates and reports survey effort

• Permits data filtering, image checking, processing andcorrection

• Provides standardised data model

• Outputs:

– Species lists (sortable by Class, trophic level etc.)

– Species richness

– Trapping rates (user defined‘events’)

– Occupancy analysis

– Plots distributionof records

– Activity patterns

– Temporal trends

ZSL– Camera Trap Data Process

ZSL Camera Trap Tool

Field variables

Ana

Note: Requires appropriate ‘R’ packages pre-loaded (but no manipulation of ‘R’ necessary)and computer date/time formatharmonised – See manual

Back up

Analysis package

Crowdsourcing?

IMAGEPROCESSING

CONVERTS THIS….TO MANAGED DATA SYSTEM:

IMAGE CHECKING, SORTING & EDITING…

SUMMARY REPORTS:SAMPLE EFFORT….

08

/06

/20

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01

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25

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11

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06

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09

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02

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26

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19

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12

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05

/01

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13

29

/12

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12

22

/12

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12

15

/12

/20

12

08

/12

/20

12

01

/12

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12

24

/11

/20

12

17

/11

/20

12

Nu

mb

er

of

Sam

plin

gC

am

era

Sta

tions

21

20

19

18

17

16

15

14

13

12

11

10

9

8

7

6

5

4

3

2

1

0

No. CAMERAS WORKING ON EACH DAY OF SURVEY : TERMIT NOV-JUN 2013

Camera Station Latitude Longitude Ca

me

ra

reco

very

Ca

me

ras

etu

p

Oth

er

-b

lan

k

Oth

er

-

cam

era

mo

un

t

mo

ve

me

nt

Oth

er

-in

sect

Wild

life

Wild

life

-

un

ide

nti

fia

ble

Wild

life

-

un

ide

nti

fie

d

TOTAL

C1_BN-01-01 001° 39' 11.82" S 041° 16' 25.51" E 26 15 69 6 0 942 0 0 1058

C2_BN-01-02 001° 38' 20.88" S 041° 16' 02.30" E 48 18 57 0 3 945 0 0 1071

C3_BN-01-03 001° 37' 29.87" S 041° 15' 16.32" E 6 12 21 0 0 2358 0 0 2397

C4_BN-01-04 001° 36' 34.56" S 041° 14' 35.83" E 51 15 228 0 0 1332 0 0 1626

C5_BN-01-05 001° 35' 33.80" S 041° 14' 02.13" E 42 12 33 0 0 1227 0 0 1314

C6_BN-01-06 001° 34' 45.37" S 041° 13' 31.94" E 18 18 51 0 0 111 0 0 198

C7_BN-01-07 001° 33' 49.56" S 041° 12' 55.63" E 0 24 30 0 0 672 15 0 741

L1_BN-01-08 001° 39' 49.14" S 041° 15' 34.58" E 24 15 33 0 0 573 24 0 669

L2_BN-01-09 001° 38' 53.46" S 041° 15' 05.06" E 90 12 39 0 0 669 27 0 837

L3_BN-01-10 001° 37' 58.37" S 041° 14' 28.23" E 23 6 24 0 0 462 0 0 515

L4_BN-01-11 001° 37' 09.01" S 041° 13' 49.49" E 34 9 12 0 0 1149 0 0 1204

L5_BN-01-12 001° 36' 14.99" S 041° 13' 15.60" E 25 15 123 0 0 669 39 0 871

L6_BN-01-13 001° 35' 19.15" S 041° 12' 40.04" E 10 5 60 0 0 2685 42 0 2802

R1_BN-01-14 001° 33' 49.53" S 041° 12' 55.59" E 32 24 30 0 0 546 21 0 653

R2_BN-01-15 001° 38' 37.09" S 041° 17' 29.86" E 0 12 15 0 0 390 24 0 441

R3_BN-01-16 001° 37' 47.82" S 041° 16' 51.96" E 0 0 0 0 0 0 0 0 0

R4_BN-01-17 001° 36' 49.29" S 041° 16' 08.53" E 42 12 18 0 0 888 9 0 969

R5_BN-01-18 001° 36' 00.77" S 041° 15' 35.49" E 24 12 189 0 0 5283 54 0 5562

R6_BN-01-19 001° 35' 00.47" S 041° 15' 03.60" E 26 12 36 0 0 1137 9 0 1220

R7_BN-01-20 001° 34' 08.37" S 041° 14' 27.62" E 51 12 21 0 0 1029 9 3 1125

TOTAL: 572 260 1089 6 3 23067 273 3 25273

SUMMARY REPORTSPHOTO TYPE TOTALS….

Camera recovery 4.9 %

Camera setup 3.68 %

Other - blank 4.59 %Other - camera mount movement 0 %

Other - insect 0 %

Wildlife 83.61 %Wildlife - unidentif iable 3.22 %

Wildlife - unidentif ied 0 %

Camera Station: R1_BN-01-14

Camera recovery 2.26 %Camera setup 1.03 %

Other - blank 4.31 %Other - camera mount movement 0.02 %

Other - insect 0.01 %Wildlife 91.27 %

Wildlife - unidentif iable 1.08 %Wildlife - unidentif ied 0.01 %

Camera Station: <All>

BONI FOREST – COASTAL KENYA 2010

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COMPILED SPECIES LISTS..Order Family or Subfamily Scientific Name Local Name

IUCNStatus Habitat Habit Trophic Level

Adult Wt.(kg)

Mammalia

Carnivora Canidea Lycaon pictus African wild dog EN Mixed T Carnivore 25

Carnivora Felidae Caracal caracal Caracal LC Mixed T Carnivore 16

Carnivora Felidae Panthera pardus Leopard NT Mixed T Carnivore 50

Carnivora Herpestidae Bdeogale omnivora Sokoke bushy-tailed mongoose VU Forest T Carnivore 1

Carnivora Herpestidae Helogale parvula Common dwarf mongoose LC Savanna T Omnivore 0.5

Carnivora Hyaenidae Crocuta crocuta Spotted hyaena LC Mixed T Carnivore 65

Carnivora Mustelidae Mellivora capensis Honey badger LC Mixed T Carnivore 10

Carnivora Viverridae Genetta maculata Central african large-spotted genet LC Forest T Carnivore 2

Cetartiodactyla Bovidae Cephalophus adersi Aders' duiker CR Forest T Herbivore 9

Cetartiodactyla Bovidae Cephalophus harveyi Harvey's duiker LC Forest T Herbivore 15

Cetartiodactyla Bovidae Nesotragus moschatus Suni LC Forest T Herbivore 5

Cetartiodactyla Bovidae Syncerus caffer African buffalo LC Desert T Herbivore 600

Cetartiodactyla Bovidae Tragelaphus scriptus Bushbuck LC Woodland T Herbivore 54

Cetartiodactyla Suidae Phacochoerus africanus Common warthog LC Mixed T Omnivore 100

Cetartiodactyla Suidae Potamochoerus larvatus Bushpig LC Woodland T Omnivore 100

Macroscelidea Macroscelididae Petrodromus tetradactylus Four-toed sengiLC Forest T Insectivore 0.2

Macroscelidea MacroscelididaeRhynchocyon chrysopygusssp. Golden-rumped sengi ssp

DD Forest T Carnivore 0.5

Primates CercopithecidaeCercopithecus mitisalbotorquatus Pousargues's Sykes's monkey

LC Forest A Herbivore 3

Primates Cercopithecidae Papio cynocephalus Yellow baboon LC Savanna T Omnivore 19

Primates Galagidae Otolemur crassicaudatus Thick-tailed greater galagoLC Forest Frugivore 2

Proboscidae Elephantidae Loxodonta africana African elephant VU Mixed T Herbivore 4000

Rodentia Hystricidae Hystrix cristata Crested porcupine LC Desert T Herbivore 20

Rodentia Nesomyidae Cricetomys gambianus Gambian giant rat LC Woodland T Omnivore 0.5

Tubulidentata Orycteropodidae Orycteropus afer Aardvark LC Grassland T Insectivore 50

Aves

Columbiformes Columbidae Turtur chalcospilos Emerald-spotted wood dove LC Forest G Herbivore 0.3

Passeriformes Phasianidae Francolinus afer Red-throated spurfowl LC Scrubland T Omnivore 0.4

Passeriformes Phasianidae Guttera pucherani Crested guinea-fowl LC Forest T Omnivore 0.5

Pelecaniformes Threskiornithidae Bostrychia hagedash Hadada ibis LC Mixed Omnivore 0.5

BONI FOREST – COASTAL KENYA 2010

SPECIES RICHNESS CURVES..

Sobs

Jackknife Order 1

Species Richness

Day

14514013513012512011511010510095908580757065605550454035302520151050

18

17

16

15

14

13

12

11

10

9

8

7

6

5

4

3

2

1

0

AUTOMATICALLY LAUNCHES ‘R’ TO RUN CALCULATIONOr export processed data e.g to EstimateS - Colwell 2013

TRAPPING RATES…

Mean number of independent photographic events per trap-day times 100

Ara

bia

nb

ab

ble

r

Ara

bia

ng

az

elle

Ba

t

Bla

ck

sta

rt

Bu

lbu

l

Bu

shy

-ta

iled

jird

Ca

me

l

Cap

eh

are

Ca

t

Co

llare

dd

ov

e

De

ser

th

ed

ge

ho

g

De

se

rtla

rk

Des

ert

mo

nito

r

Do

nke

y

Fo

x

Ge

rbil

Ho

opo

e

Ho

us

eb

un

ting

Hu

me

'so

wl

Ke

str

el

Lau

gh

ing

dov

e

Nu

bia

nib

ex

Re

dfo

x

Ro

ck

hy

rax

San

dpa

rtri

dg

e

Sh

oats

Sp

ani

sh

sp

arr

ow

Sp

iny

mo

us

e

Wh

ite-c

row

ne

db

lac

kw

he

ate

ar

Wo

lf

3.5

3

2.5

2

1.5

1

0.5

0

Wadi Nukhaylan : Ibex Reserve Saudi Arabia

TEMPORAL SEQUENCES…

Species: Camel

08/0

6/2

013

01/0

6/2

013

25/0

5/2

013

18/0

5/2

013

11/0

5/2

013

04/0

5/2

013

27/0

4/2

013

20/0

4/2

013

13/0

4/2

013

06/0

4/2

013

30/0

3/2

013

23/0

3/2

013

16/0

3/2

013

09/0

3/2

013

02/0

3/2

013

23/0

2/2

013

16/0

2/2

013

09/0

2/2

013

02/0

2/2

013

26/0

1/2

013

19/0

1/2

013

12/0

1/2

013

05/0

1/2

013

29/1

2/2

012

22/1

2/2

012

15/1

2/2

012

08/1

2/2

012

01/1

2/2

012

24/1

1/2

012

17/1

1/2

012

Nu

mbe

rof

Ind

epe

nden

tPh

oto

gra

phic

Ev

ents

9

8.5

8

7.5

7

6.5

6

5.5

5

4.5

4

3.5

3

2.5

2

1.5

1

0.5

0

CAMELSNov.12 to Jun 13

EVENT FREQUENCY BY DATE

TERMIT - NIGERNov.12 to Jun 13

Species: Golden jackal

08/0

6/2

013

01/0

6/2

013

25/0

5/2

013

18/0

5/2

013

11/0

5/2

013

04/0

5/2

013

27/0

4/2

013

20/0

4/2

013

13/0

4/2

013

06/0

4/2

013

30/0

3/2

013

23/0

3/2

013

16/0

3/2

013

09/0

3/2

013

02/0

3/2

013

23/0

2/2

013

16/0

2/2

013

09/0

2/2

013

02/0

2/2

013

26/0

1/2

013

19/0

1/2

013

12/0

1/2

013

05/0

1/2

013

29/1

2/2

012

22/1

2/2

012

15/1

2/2

012

08/1

2/2

012

01/1

2/2

012

24/1

1/2

012

17/1

1/2

012

Nu

mbe

rof

Ind

epe

nden

tPh

oto

gra

phic

Ev

ents

4. 5

4

3. 5

3

2. 5

2

1. 5

1

0. 5

0

Species: Dorcas gaz ell e

08/0

6/2

013

01/0

6/2

013

25/0

5/2

013

18/0

5/2

013

11/0

5/2

013

04/0

5/2

013

27/0

4/2

013

20/0

4/2

013

13/0

4/2

013

06/0

4/2

013

30/0

3/2

013

23/0

3/2

013

16/0

3/2

013

09/0

3/2

013

02/0

3/2

013

23/0

2/2

013

16/0

2/2

013

09/0

2/2

013

02/0

2/2

013

26/0

1/2

013

19/0

1/2

013

12/0

1/2

013

05/0

1/2

013

29/1

2/2

012

22/1

2/2

012

15/1

2/2

012

08/1

2/2

012

01/1

2/2

012

24/1

1/2

012

17/1

1/2

012

Num

ber

ofI

nd

epen

dent

Pho

togr

aphi

cE

ven

ts

4 .5

4

3.5

3

2.5

2

1.5

1

0.5

0

GOLDEN JACKALNov.12 to Jun 13

DORCAS GAZELLENov.12 to Jun 13

OCCUPANCY : SELECTED MAMMALSTERMIT MASSIF 2012-13: data output

(Equivalent to the basic ‘1 GROUP, CONSTANT P’ model of PRESENCE Hines 2006)Note: Presence/absence matrices exportable for separate analysis

SPECIES ‘OCCUPANCY’ DETECTION PROBABILITY

NaïveEstimate

ModelledEstimate

StandardError

Lower95% CI

Upper95% CI

Estimate StandardError

Lower95% CI

Upper95% CI

Barbary sheep 0.6 0.603 0.11 0.381 0.789 0.409 0.048 0.318 0.506

Camel 0.95 0.95 0.049 0.717 0.993 0.565 0.037 0.491 0.636

Cape hare 0.7 0.703 0.103 0.474 0.862 0.472 0.044 0.387 0.558

Dama 0.3 0.346 0.123 0.154 0.605 0.2 0.06 0.107 0.343

Dorcas gazelle 0.9 0.908 0.068 0.668 0.98 0.38 0.038 0.308 0.458

Golden jackal 0.8 0.811 0.091 0.574 0.931 0.413 0.041 0.336 0.495

Nubian bustard 0.3 0.3 0 0.3 0.3 0.072 0.046 0.02 0.231

Rueppell's fox 0.7 0.762 0.115 0.48 0.917 0.24 0.041 0.169 0.329

Striped hyaena 0.2 0.2 0 0.2 0.2 0.095 0.06 0.026 0.29

Wild cat 0.7 0.704 0.103 0.474 0.863 0.456 0.044 0.372 0.543

OCCUPANCY: SELECTED MAMMALSTERMIT MASSIF 2012-13: graphic output

Modelled EstimateNaïve Estimate

Barb

ary

shee

p

Cam

el

Cap

ehare

Dam

a

Dorc

as

gazelle

Nubia

nb

usta

rd

Ruepp

ell's

fox

Str

iped

hyaen

a

Wild

ca

t

Oc

cupan

cy

1

0.95

0.9

0.85

0.8

0.75

0.7

0.65

0.6

0.55

0.5

0.45

0.4

0.35

0.3

0.25

0.2

0.15

0.1

0.05

0

AUTOMATICALLY LAUNCHES ‘R’ TO RUN CALCULATIONS

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ACTIVITY PATTERNSSpecies : Giant e lephant shrew

Hour of the Day0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23

Num

ber

of

Inde

pende

ntP

hoto

gra

phic

Eve

nts

20

19

18

17

16

15

14

13

12

11

10

9

8

7

6

5

4

3

2

1

0

Species: Four-toed elephant shrew

Hour of the Day0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23

Num

be

rof

Ind

epend

entP

hoto

gra

phic

Events

30

28

26

24

22

20

18

16

14

12

10

8

6

4

2

0

GIANT SENGI

BONI FORESTMar – Jun 2010

FOUR-TOED SENGI

BONI FORESTMar – Jun 2010

DISTRIBUTION OF RECORDSGoogle Earth (& ArcReader)…

AUTOMATIC INTERFACE WITH GOOGLE EARTHBARBARY SHEEP – TERMIT NOV-JUN 2013

4 STANDARD DATA INPUTS:

1. CAMERA LOCATION AND SITE COVARIATES

2. CAMERA MAKE & CONFIGURATION DETAILS

3. CAMERA SETUP, SERVICE & RECOVERY DATES

4. IMAGE DATA

DATA PREPARATION 1 - IMAGE DATA

META-DATA EXTRACTION

1 - IMAGE DATA

META-DATA EXTRACTION

DATA STANDARDISATION

• STANDARD ‘PHOTO TYPE’ CLASSES

• EXTENSIVE USE OF LOOK-UP TABLES IN THEDATA MODEL (FIXED AND EDITABLE COMPONENTS)

• SPECIES NAMES BASED ON IUCN REDLIST

• SEPARATE ‘COUNTRY TEMPLATES’ FOR SPECIES

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1. IMAGE DATA

1) LOAD META DATA FOR EACH CAMERA SEQUENTIALLY :

2) ENTER PHOTO TYPE & SPECIES BY HAND (MUST MATCH LOOK-UP TABLE OPTIONS)

2. CAMERA SITE NAME,POSITION, SITE VARIABLES

3. CAMERA CONFIGURATION4. SET-UP, SERVICE, RECOVERY &

FUNCTIONING HISTORIES

DEMONSTRATION CURRENT FUNCTIONS• standard import format and data model

• image checking, sorting & editing

• data exporting

• survey effort reports, Survey time,

photo type breakdown

• species reports Species list

Species richness

Temporal patterns

Trapping rates

Occupancy (basic)

Distribution maps

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ZSL Camera Trap Analysis Tool

Speci es: Four-toed e lephant shrew

Hour of the Day0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23

Num

ber

ofI

nde

pen

den

tPho

tog

raph

icEv

ents

3 0

28

26

24

22

20

18

16

14

12

10

8

6

4

2

0

Modelled Es timate

Naïve Est imate

Bar

bary

she

ep

Cam

el

Ca

peh

are

Dam

a

Dor

cas

gaz

elle

Nub

ian

bus

tard

Rue

ppe

ll's

fox

Stri

ped

hyae

na

Wild

cat

Oc

cup

ancy

1

0.95

0.9

0.85

0.8

0.75

0.7

0.65

0.6

0.55

0.5

0.45

0.4

0.35

0.3

0.25

0.2

0.15

0.1

0.05

0

OCCUPANCY

ACTIVITY

Sobs

Jackknif eOrder 1

Species Richness

Day14514013513012512011511010510095908580757065605550454035302520151050

18

17

16

15

14

13

12

11

10

9

8

7

6

5

4

3

2

1

0

SPECIES RICHNESS

TRAPPING RATE & LOCATION

WHAT ELSE CAN WE DO WITH THIS DATA?

Besides establishing baselineindices…

• Determine factors affectingspecies distribution andabundance

• Information about behaviourand ecology

• Inter & Intra-specificinteractions

• Monitor environmental &seasonal changes

• Other impacts

OCCUPANCY WITH COVARIATES

Blue Duiker – Arabuko Sokoke Forest Bushy Tailed Mongoose

Gambian Rat Golden Rumped Sengi

Distance to PA boundary Distance to PA boundary

Distance to PA boundary Distance to PA boundary

BEHAVIOUR AND ECOLOGICAL INSIGHTS

• Territoriality, scent marking

• Reproduction

• Inter-specific interactions

• Time lapse- seasonalchanges

SCENT-MARKING – LARGE SPOTTED GENET, BONI F.R.

Reproductive behaviour- detection of breeding season

Nubian ibex, Saudi Arabia

0

5

10

15

20

25

Red River Hog

(n= 1950)

Brush-tailed

Porcupine

(n=1434)

Others (n=2463)

NIm

ag

es

wit

hb

ats

Observed

Expected

GUINEA:

INSECTIVOROUS BATSASSOCIATING WITH REDRIVER HOG GROUPSIN PREFERENCE TO OTHERNOCTURNAL SPECIES

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OTHER IMPACTS….

• Environmental events

• Human impacts- hunting, poaching

Camera Trapping Process

• 1) PROTOCOLS & BEST PRACTICES

• 2) TRAINING: SURVEY DESIGN & FIELD SET UP

• 3) TRAINING : DATA MANAGEMENT & ANALYSIS

• 4) COMPREHENSIVE REPORTING

IMPACT OF TRAINING

STANDARDISING CAMERAPOSITION

50% OF CAMERAS BEFORE TRAINING

95% OF CAMERAS AFTER TRAINING

Image meta-data processing module

Output standard reports

Community structure analysis

Additional statistical tests (χ2, circular stats. etc.)

Radial activity plots

Cross survey analyses

Occupancy modelling with covariates

Spatially explicit capture-recapture modelling (markedanimals)

Population estimates for unmarked animals (REM )

Activity modelling

Crowd sourcing

FUTURE DEVELOPMENT

Spe cie s: Rue ppe ll's f ox

Ho ur of the Day0 1 2 3 4 5 6 7 8 9 10 11 1 2 1 3 14 15 16 1 7 1 8 19 20 21 2 2 2 3

Num

ber

ofIn

dep

end

ent

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vents

8

7 .5

7

6 .5

6

5 .5

5

4 .5

4

3 .5

3

2 .5

2

1 .5

1

0 .5

0

Spec ies : Golden jac kal

Hour of t he Day0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 2 3

Num

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1 6

1 5

1 4

1 3

1 2

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9

8

7

6

5

4

3

2

1

0

African ‘golden wolf’

Rueppell’s fox

DEVELOPMENT – PHASE 2e.g. Introduce radial plots to compare activity patterns

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QUESTIONS?