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Geographic XBRL Linkbase: A new Approach to Financial Reporting and Analysis M.Sc. Marcio Alexandre Silva Prof. Dr. Paulo Caetano da Silva Prof. PhD. Miklos Vasarhelyi

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Geographic XBRL Linkbase: A

new Approach to Financial

Reporting and Analysis

M.Sc. Marcio Alexandre Silva

Prof. Dr. Paulo Caetano da Silva

Prof. PhD. Miklos Vasarhelyi

Agenda

Geographic Information System

XBRL

Scenario

Developed Works

Data Representation

Comparison between developed works:

How we can use this idea

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Geographic Information System

Acronym: GIS;

Location in virtual maps of real

objects;

GIS has been researched since 60’s;

GIS means a set of several technologies:

Visualization,

Maintenance,

Distribution and

Information Retrieval.

Demand of new computer languages

GML, KML, GeoMDQL

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XBRL

XML-derived language for the financial domain;

International Consortium: 600+ companies;

Organized data for supporting visualizations (on web or

spreadsheets):

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Scenario –XBRL Data

Traditional XBRL

Identification number (simple text);

Name (simple text);

not support geoprocessing.

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XBRL GIS – INTEGRATING GEOGRAPHIC

INFORMATION IN XBRL

DOCUMENTS

(2013)

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M.Sc. Marcio Alexandre

Prof. Dr. Paulo Caetano

Prof. Dr. Jorge Campos

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XBRL GIS

Objectives:

Integration of both domains: GIS and XBRL;

One more resource for supporting financial analysis of the

companies:

Financial GeoVisualization.

Found Scenario:

Shortage of research/works about this approach.

Adopted technologies in this proposal:

xLink;

GML Instance;

XBRL Instance;

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XBRL GIS - Advantages

Integration about two languages:

XML for the geoprocessing (GML)

XML for the financial information (XBRL)

Preservation of the specifications:

GML 3.2/3.3;

XBRL 2.1;

Separation of complexity inherent to development of

both technologies;

Link between instances developed in common language.

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Geographic XBRL Linkbase: A new

Approach to Financial Reporting and

Analysis

(2015)

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M.Sc. Marcio Alexandre

Prof. Dr. Paulo Caetano

Prof. Dr. Miklos Vasarhelyi

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Geographic XBRL Linkbase

Objectives:

Representation of geoProcessable data within XBRL

Taxonomy;

Standardize the geoRepresentation in the XBRL Taxonomy;

Manipulation of the geoElements in the XBRL docs;

Found Scenario:

The XBRL developer does not have access to geoElements

contained in the GML Schemas;

It is not possible to :

define complex geoElements;

Manipulate the geoElements freely.

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Geographic XBRL Linkbase

Adopted Technologies in the proposal:

xLink;

XML Schema;

GML Taxonomy 3.2/3.3;

XBRL Taxonomy 2.1;

XBRL Generic Links 1.0;

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Data Representation of the Issuer of

the Financial Reporting

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Representation – Tradicional XBRL

XBRL Instance

XBRL Schema (not mandatory)

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Representation – XBRL GIS (2013)

XBRL Schema (Mandatory):

Two elemento were specified

Geospatial_location

Location_link

XBRL Instance

In the “context/segment” xpath, the GML instance link (href) is

stored, as such:

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Representation – Geo XBRL Linkbase (2015)

XBRL Schema:

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Proposed Linkbase

Linkbase Type

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Representation – Geo XBRL Linkbase (2015)

Proposed linkbase (a new XML file in the Taxonomy):

Free manipulations of the geoElements contained in the GML

Taxonomy;

It is possible the representation of complex geoElements.

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Comparative Tables

XBRL Traditional vs. XBRL GIS vs. Geo XBRL Linkbase

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Utilized Technologies

Traditional

XBRL XBRL GIS

(2013) Geo Linkbase XBRL (2015)

xlink yes yes yes

XBRL Instance yes yes yes

XBRL Schema yes yes yes

GML Instance no yes

(Mandatory) yes (Not

Mandatory)

GML Taxonomy no implicitly yes

Specific XBRL Linkbase no no yes Generic Links for georepresentation no no yes

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Attributes and Possibilities

Traditional

XBRL

XBRL GIS

(2013) Geographic XBRL Linkbase (2015)

XBRL Specification 2.1 yes yes yes

GML Specification 3.2/3.3 no yes yes

Geoprocessing no yes yes

Definition of GeoElements within of XBRL taxonomy no no yes Open Manipulation of GeoElements within of XBRL Taxonomy no no yes

Representations of Complex GeoData no no yes

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How can we use this idea?

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Example 1:

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Location (richer information)

Address Visualization Kinds

Adjacent

Streets

Exact

Location

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Exemplo 2:

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Spatial Financial OLAP

LMDQL

Many devices for data presentation

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Thank you!

[email protected]

http://xbrlframework.wordpress.com

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