R: RE: AI-GEOSTATS: Interpolating mining presence only data
Ok, in this case surface morphology could be very useful (i.e. possible strong signature of antrophic activity). But you need high resolution dems! Sebas http://posta64a.mailbeta.libero.it/cp/ps/Main/WindLayout?d=libero. itu=sebastiano.trevisanit=116124102d823104# Messaggio originale Da: gregoire.dub...@jrc.ec.europa.eu Data: 14/12/2010 9.13 A: jpri...@ujaen.es Cc: ai-geostats@jrc.it Ogg: RE: AI-GEOSTATS: Interpolating mining presence only data Hi everyone, Many thanks for all the suggestions received so far. I was unclear indeed in my request as I was looking for undiscovered mining sites rather than undiscovered deposits. Best regards, Gregoire Grégoire Dubois (Ph.D.) Joint Research Centre - European Commission Global Environment Monitoring Unit Monitoring Of Natural resources for DEvelopment (MONDE) Via Fermi 2749, TP 440, I-21027 Ispra (VA), ITALY http://ies.jrc.ec.europa.eu/ Tel : +39 0332 786360 Fax : +39 0332-789960 Email: gregoire.dub...@jrc.ec.europa.eu The views expressed are purely those of the writer and may not in any circumstances be regarded as stating an official position of the European Commission. (Disclaimer required under the terms and conditions of use of the internet and electronic mail from Commission equipment) -Original Message- From: Juan P. Rigol Sanchez [mailto:jpri...@ujaen.es] Sent: Tuesday, December 14, 2010 7:36 AM To: Gregoire Dubois Subject: Re: AI-GEOSTATS: Interpolating mining presence only data Hi Gregoire. Do you want to map undiscovered mineral deposits or undiscovered mining sites (illegal mining or the like)? In the first case, it depends on scale, but mineral deposits are usually taken as points/cells at mineral exploration scales. Thus, spatial continuity is not assumed (mineral deposits are typically discontinuous) in most (all?) exploration mapping models. Further information on mineral deposit type would be necessary to give advice. In addition, you have only two predictor layers, and probably the DEM will be useless (it obviously depends on the deposit model, but in most deposits topography will be uncorrelated). The geological map could be used to refine prior spatial probabilities using bayesian WofE model or similar (take a look on ArcSDM toolbox for arcgis). There are quite a lot references on mineral potential probability mapping (take a look on latest issues of journals Ore Geology Reviews or Natural Resources Research). In the second case, I guess the type of mineral deposit will also control the approach (probably a lithology class or fractures/faults will control the location of mining sites). I hope this helps. Regards, Juan P. -- Juan P. Rigol-Sanchez RSGIS Lab - Earth Surface Processes - Dpt. of Geology Faculty of Science, University of Jaen Spain -- El lun, 13-12-2010 a las 17:19 +0100, Gregoire Dubois escribió: Hi everyone, Any suggestions about how to map probabilities to find undetected mining sites having only - A map of mining locations (presence only data) - A geological map - A DEM I’m aware of the work on mapping bird species (e.g. Olivier Wotherspoon, 2006) but I suppose the situation is different here given the supposed spatial continuity in the mineral mined? Many thanks for any hints. Best regards Gregoire Grégoire Dubois (Ph.D.) Joint Research Centre - European Commission Global Environment Monitoring Unit Monitoring Of Natural resources for DEvelopment (MONDE) Via Fermi 2749, TP 440, I-21027 Ispra (VA), ITALY http://ies.jrc.ec.europa.eu/ Tel : +39 0332 786360 Fax : +39 0332-789960 Email: gregoire.dub...@jrc.ec.europa.eu The views expressed are purely those of the writer and may not in any circumstances be regarded as stating an official position of the European Commission. (Disclaimer required under the terms and conditions of use of the internet and electronic mail from Commission equipment) + + To post a message to the list, send it to ai-geost...@jrc.ec.europa.eu + To unsubscribe, send email to majordomo@ jrc.ec.europa.eu with no subject and unsubscribe ai-geostats in the message body. DO NOT SEND Subscribe/Unsubscribe requests to the list + As a general service to list users, please remember to post a summary of any useful responses to your questions. + Support to the forum can be found at http://www.ai-geostats.org/ + + To post a message to the list, send it to ai-geost...@jrc.ec.europa.eu + To unsubscribe, send email to majordomo@ jrc.ec.europa.eu with no subject and unsubscribe ai-geostats in the message body. DO NOT SEND Subscribe/Unsubscribe requests to the list + As a general service to list
R: AI-GEOSTATS: Interpolating mining presence only data
HiAn idea could be to calculate a kernel density from the sites and see if
there is a correlationwith lithology. The dem could be useful if there is some
correlation between morphology and themining sites i.e.: 1) are the mining
sites correlated with the geo-structural and geomorfological setting?Have the
geostructural and geomorfological setting a morphometric signature?
I hope this is useful.ByeSebas
Messaggio originale
Da: gregoire.dub...@jrc.ec.europa.eu
Data: 13/12/2010 17.19
A: ai-geostats@jrc.it
Ogg: AI-GEOSTATS: Interpolating mining presence only data
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-
--Hi everyone, Any suggestions about how to map probabilities to find
undetected mining sites having only - A map of mining locations
(presence only data)- A geological map - A DEM I’m aware of
the work on mapping bird species (e.g. Olivier amp; Wotherspoon, 2006) but I
suppose the situation is different here given the supposed spatial continuity
in the mineral mined? Many thanks for any hints. Best regards
GregoireGrégoire Dubois (Ph.D.)
Joint Research Centre - European Commission Global Environment Monitoring
AI-GEOSTATS: Invitation to connect on LinkedIn
LinkedIn AI, I'd like to add you to my professional network on LinkedIn. - M. Nur M. Nur Heriawan Lecturer at Mining Engineering Department, Bandung Institute of Technology Indonesia Confirm that you know M. Nur Heriawan https://www.linkedin.com/e/dgf4jv-ghonvkrj-4s/isd/2022205333/5gtJDAY8/ -- (c) 2010, LinkedIn Corporation
