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Behind Rossmo's assumptions: further hypotheses to make geographic profiling more operational

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(1)

Behind Rossmo’s assumptions :

further hypotheses to make

geographic profiling more operational

Trotta Marie

Geomatics Unit. University of Li`ege. FRS-FNRS Fellowship

ICIAC - Manchester

(2)

300 EUROS

This is the price for 1 DNA test in Belgium

Cost of a DNA investigation : 300 × Nb of Suspects

Reducing the Nb of suspects saves large amount

of money and time

(3)

300 EUROS

This is the price for 1 DNA test in Belgium

Cost of a DNA investigation : 300 × Nb of Suspects

Reducing the Nb of suspects saves large amount

of money and time

(4)

300 EUROS

This is the price for 1 DNA test in Belgium

Cost of a DNA investigation : 300 × Nb of Suspects

Reducing the Nb of suspects saves large amount

of money and time

(5)

300 EUROS

This is the price for 1 DNA test in Belgium

Cost of a DNA investigation : 300 × Nb of Suspects

Reducing the Nb of suspects saves large amount

of money and time

(6)

300 EUROS

This is the price for 1 DNA test in Belgium

Cost of a DNA investigation : 300 × Nb of Suspects

Reducing the Nb of suspects saves large amount

of money and time

(7)

Rossmo defines the following assumptions

to apply GP

Linkbetween crimes must be accurate and complete

The offender must belocal(not too long journey)

He should not changehis anchor point

(8)

From solved series in Belgium, we observed

Link Local offender Change of anchor point

Systematic comparison of modus operandi only for violent crimes

Distances can be about 10 km or more and few consistency between offenders

A lot of series with mulitple residences or infuence of past residence

(9)

Before applying GP methodologies,we should be abble

to estimate if those assumptions are met

(10)
(11)

To answer to this question, I decided to combine

theoretical and operational approaches

Aliterature reviewto identify the assumptions in GP and criteria favouring their meeting

The study of what is behind those assumptions in terms ofresearch methodologywith anunsolved

(12)

A better understanding of the spatio-temporal context

of the crime should improve GP effectiveness

(13)

Behind Rossmo’s assumptions :

further hypotheses to make GP profiling more operational

Rossmo’s assumptions : description, ante-evaluation and applicability

Case study : development of another spatial hypothesis for the offender’s behaviour

(14)

Behind Rossmo’s assumptions :

further hypotheses to make GP profiling more operational

Rossmo’s assumptions : description, ante-evaluation and applicability

Case study : development of another spatial hypothesis for the offender’s behaviour

(15)

I. Link The degree of certainty for the link

between crimes depends on

Crime type

Offender’s properties

Spatio-temporal aspects

DNA or ballistic traces

Consistency in modus operandi

Proximity in time and space of crimes

(16)

I. Link - THe highest level of certainty is reached

by DNA matching

(17)

I. Link - Closeness in time and space is often the only way

to link events to a series

(18)

II. A local offender supposes first

short distances to crime influenced by

Crime type Offender’s properties Spatio-temporal aspects

Crime against good or people Premeditation or Opportunity

Age

Socio-economic status Mode of transportation

Pattern of potential targets Attractiveness of places

(19)

II. A local offender supposes first

short distances to crime influenced by

Crime type Offender’s properties Spatio-temporal aspects

Crime against good or people Premeditation or Opportunity

Age

Socio-economic statut Mode of transportation

Pattern of potential targets Attractiveness of places

(20)

Place attractiveness varies with spatial scale and time

According to Branthingham, a distance decay is only observed forneutral placesin terms of criminality

Attractiveness can be analysed from inter-city scale

toneighbouroodone

Opening hours of shops, bars influence place attractiveness

(21)

II. Local Offender - Attractors can be

point primitive

(22)

II. Local Offender - Attractors can be

segment primitive

(23)

II. Local Offender - Attractors can be

area primitive

(24)

II. A local offender is often associated with

a uniform distribution of crimes around an anchor point

Offender’s properties Spatio-temporal aspects Mode of transportation

Spatial organisation of the city Grid network vs disorganised network

New vs old cities Orientation of physical barriers

(25)

From the observations, classical methodologies appear

to be inappropriated for the series

Influence of theroad networkon the journeys-to-crime

Only one neutral place from which a distance decay could be applied

(26)

Behind Rossmo’s assumptions :

further hypotheses to make GP profiling more operational

Rossmo’s assumptions : description, ante-evaluation and applicability

Case study : development of another spatial hypothesis for the offender’s behaviour

(27)

A new spatial hypothesis was proposed to explain the

pattern

A distance decay for the only place with less a-priori attractiveness

A minimisation of variance for the others journeys in line with observation of offender’s spatial consistency

(28)

A corridor is highlithed by minimizing the variance

for the lenght of JTC (threshold of 10%)

(29)

From the neutral place, a linear distance

decay function is applied

(30)
(31)
(32)

The offender’s residence was located

near the highest probability

(33)

Behind Rossmo’s assumptions :

further hypotheses to make GP profiling more operational

Rossmo’s assumptions can be estimated with crime elements among others spatio-temporal properties

Offender’s spatial consistency is another spatial hypothesis that could be applied to places presenting the same level of attractiveness.

(34)

Geographical profiling

can really save time and money

Only a good comprehension of the spatio-temporal aspects of crimes allow to reduce the pool of suspects.

(35)

Marie Trotta

Geomatics Unit

University of Li`

ege

FRS-FNRS Fellowship

Marie.Trotta@ulg.ac.be

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