Arc SDM - Spatial Data Modeller for ArcGIS and Spatial Analyst

Spatial Data Modeller, SDM, is a collection of tools for use with GIS software for adding categorical maps with interval, ordinal, or ratio scale maps to produce a predictive map of where something of interest is likely to occur. The tools include the data-driven methods of Weights of Evidence, Logistic Regression, and two supervised and one unsupervised neural network methods, and categorical tools for a knowledge-driven method Fuzzy Logic. All of the tools have help files that include references to publications discussing the applications of the methods implemented in the tool. Several of the tools create output rasters, tables, or files that require the user to enter a name. Default values are provided in most cases to serve as suggestions of the style of naming that has been found useful. These names, following ArcGIS conventions, can be changed to meet the user’s needs. To make all of the features of SDM work properly it is required that several Environment parameters are set. See the discussion of Environment Settings below for the details. The Weights of Evidence, WofE, and Logistic Regression, LR, tools addresses area as the count of unit cells. It is assumed in the WofE and LR tools that the data has spatial units of meters. If your data has other spatial units, these WofE and LR tools may not work properly.



Website:

http://www.ige.unicamp.br/sdm/

Simple

Date (Creation)
2008-03-01
Date (Publication)
2008-03-01
Date (Revision)
2010-07-01
Edition

10
Citation identifier
https://www.mica-project.eu/ / MICA_B3-5

MICA WP3 2018-11-03T15:16:00 Record extracted from Batch 3 spreadsheet

Other citation details

No other citation details provided
Purpose

Purpose for data generation is not known
Status
Completed
Point of contact
Organisation name Individual name Electronic mail address Role

University of Campinas

 		Resource provider
Maintenance and update frequency
As needed
dataCentre

  • MICA

MICA ontology (TemporalScheme)

  • Recent (includes data from 2006 onwards)

MICA ontology (DataScheme)

  • General descriptive information / Website / Other (Website)
Keywords

  • Requirement for data generation: Voluntary
Keywords

  • Method of data or information generation: Academic research

GEMET Concepts

  • Exploration

MICA ontology (DomainScheme)

  • Mineral exploration

MICA ontology (DomainScheme)

  • Regional reconnaissance

MICA ontology (DomainScheme)

  • 2D predictive mapping

MICA ontology (DomainScheme)

  • Mineral resources potential assessment/estimating undiscovered resources

MICA ontology (ValueSupplyChainScheme)

  • Exploration

MICA ontology (ValueSupplyChainScheme)

  • Regional reconnaissance
Access constraints
Other restrictions
Use constraints
Other restrictions
Language
English
Topic category
  • Geoscientific information
  • Economy
Description

Not applicable
Geographic identifier
Other group of countries (please provide more details)
Hierarchy level
Non geographic dataset
Other

Individual item (e.g. a one-off academic paper or single website)

Conformance result

Title

Data uncertainty
Date
Explanation

Are any uncertainty measures provided (e.g. standard errors, confidence intervals, etc.)?
Pass
No

Conformance result

Title

Quality assurance procedures
Date
Explanation

Are quality assurance procedures described?
Pass
No

Conformance result

Title

Information generation methods
Date
Explanation

Are data or information generation methods formally described?
Pass
Yes

Conformance result

Title

Record review
Date
Other citation details

Reviewed by: British Geological Survey
Explanation

Record validation
Pass
No

Conformance result

Title
Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services
Date (Publication)
2010-12-08
Statement

Organisation source implies that information should be of good quality

Metadata

File identifier
d3d76fa7-d1da-472b-920a-3ff2bca90290 XML
Metadata language
English
Character set
MD_CharacterSetCode_utf8
Hierarchy level
Non geographic dataset
Date stamp
2024-11-07
Metadata standard name

ISO19115
Metadata standard version

2003/Cor.1:2006
Metadata author
Organisation name Individual name Electronic mail address Role

British Geological Survey

enquiries@bgs.ac.uk

Point of contact
 
 

Overviews

overview

Keywords

MICA


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