○ ○ ○ ○ ○ ○ ○ June 2008 ○ ○○○○○○○○○○○○○○○○○○ SP PAN’s mis ssion is to o achieve excellenc e e in the ap pplication n of innova ative spatiial analysiis in sup pport of research, ed ducation and a comm munity outtreach Manage er’s Messa age CONTENTS Man nager’s Messsage 1 Projects 2 Equipment 2 Projects 3 Projects 4 Data a 4 SPAN is a researcch support w the Centre for unit within Rese earch and Gra aduate Train ning at Charle es Sturt Unive ersity. It has offices at Wagga Wagga an nd uses to Thurrgoona campu proviide postgradu uate and staff research sup pport in e main areas: remote three senssing, Geograp phic Information Syste ems (GIS) s statisttics. and spatial Welcom me to SPAN N’s June ne ewsletter. As always, SPAN is having h a ve ery busy ye ear archers on their projeccts. working with resea p are many and varied, v ranging These projects from mo odelling wire eless LAN co overage are eas and ligh ht pollution zones to travel routtes taken by b insect prredators of crops. Brrief descriptions of som me of these e projects and a the worrk that SPA AN is doing to assist are a included d in the follow wing pages.. t issue arre updates on o some of the t Also in this data and d equipmen nt SPAN has s available for research h use. Note e that there e is usually no charge for researchers to utilise the ese es or to obta ain SPAN’s assistance. a resource Recent enquiries have h indicatted that the ere ome new staff members and a are so postgrad duate stude ents who arre unaware of the servvices, resou urces and fa acilities SPA AN offers. I would be delighted d to come along to school, faculty f or re esearch grou up meetingss to give a presentatio on highligh hting what is e and to speak with h researche ers available about th heir projectss and how SPAN S may be able to help. Simply call or email me m he right of th his (contactt details are listed on th page) to o arrange a suitable s time e. Con ntacting SPAN S Wag gga Wagga Campus C Gaill Fuller Man nager, SPAN Phone: 02 6933 2004 ail: gfuller@c csu.edu.au Ema Gary y McKenzie Research Suppo ort Programm mer Phone: 02 6933 2165 ail: [email protected] Ema Craiig Poynter Spatial Analysis Officer Phone: 02 6933 2165 ail: cpoynter@ @csu.edu.au u Ema mpus Thurgoona Cam Simon McDona ald Spatial Analysis Officer Phone: 02 6051 9922 ail: [email protected] Ema Dea anna Duffy Spatial Analysis Officer Phone: 02 6051 9922 ail: dduffy@c csu.edu.au Ema Gail Fulleer Ca an SPAN help h you? SP PAN might be b able to assist your research r in ways you do d not anticipate. From m simple datta retrieval and ma ap making to complex spatial and d statistical data analys sis, SPAN is available to enhance e the qualitty of you ur research. If you are a research her, academ mic or postg graduate stu udent at Ch harles Sturt University and believe that so ome aspectt of your ressearch migh ht be assistted by using g our skills, do not hesitate to con ntact the e Manager, Gail Fuller, on 32004 or o [email protected] to discuss your y projectt requireme ents. W Want to o know w more? ? Visit www.c csu.edu.au/re esearch/span n/ ○ ○ ○ ○ ○○○○○○○○○○○○○○○○○○ ○ ○ ○ ○ ○○○○○○○○○○○○○ Proje ects E Equip pmen nt SPA AN has been assisting David Pero ovic’s PhD research by y investigatiing how well cost-d distance mea asures fit his arthropod d collection data and also c or fragmenttation in Australian cottton with modelling landscape connectivity nalysis so fa ar has inclu uded thousands of calcu ulations of the t landscapes. An en various maps m of ‘cost’. Resultss of this ana alysis sugge est bestt ‘route’ give that the landsca ape structure for a disstance of up p to 3 km from the crrop ngly affects both pests and beneficcial insects in cotton. The presen nce stron of na ative vegeta ation is also very v importa ant in suppo orting benefic cial insects. Co otton crops can be affected by pests Example off cost surface model showing lea ast cost route Wire eless Local Area A Netwo orks (WLANss) are becoming increa asingly popu ular for personal p and business use. Desp pite the ben nefits that WLANs W offerr in sharred environm ments, there e is an incrrease in security risks if a WLAN is implemented ass part of a network in nfrastructure e. This increased risk is n and easy e accesssibility of the WLAN, with w caussed by the broadcast nature userrs able to acccess the WLAN W from anywhere a in n the coverage area. This open ns up the way w for hackkers to comp promise nettwork integriity while beiing locatted safely outside the organisation’s perimeterss. To better b protecct valuable resources r o a networkk, this projec on ct investigattes locattion based resource access contrrol in additio on to the encryption e a and auth hentication mechanisms m commonly used in WLA ANs. Such a system may m provvide a simple yet powe erful meanss of geograp phical access control, by auth horising userrs based on their physiccal location. SPA AN is assistin ng A/Prof Jo ohn Louis an nd Tanja Lan ng’s project by developiing a 3D D model of the t sample building, Acccess Point (AP) and Pe ersonal Digital Assistant (PDA)) locations, AP-PDA A nettworks, and statistical an nalysis. SP PAN’s UN NIX comp puter, ‘Ne ewton’, which has se erved faitthfully for th he last five years y is soon to be replaced with w a new w machine. This macchine, to be known as a ‘Tesla’, will w be run nning a Red R Hat Linux operating sysstem. Sp pecifications s for this ma achine incllude two quad corre 3GHz prrocessors, 32Gb 3 RA AM and 8 x 1Tb hard d disc drives. Up pgrades to the RA AID storag ge array will inccrease its s capacityy to approximately y 16Tb. Re emember that SPAN has tecchnical equipment available forr researche ers to bo orrow, succh as: • GPS units s; • Nomad rugged PDAss with inbuilt GPS; p digital • Ricoh 8Mp cameras with w inbuilt GPS; G ok field porta able • Toughboo laptop; • Spectroradiometers – 400-1100N Nm and 300-2500N Nm units; ultispectral • MADIS mu airborne digital d imaging system; Prrinting: SP PAN also prints photo p quality conferrence poste ers up to 1m wide an nd many metres m lon ng. High quality full colour c A4 4 printing is s also available, suitable for thesis prin nting. All SPAN’s prrinting is do one at verry reasona able ratess for CS SU staff an nd studentss and can be charg ged by intternal fun nds transferr. SPAN N Newsletter, June 2008 Page 2 ○ ○ ○ ○ ○○○○○○○○○○○○○○○○○○ P ects Proje Another interessting projecct brought to SPAN by b Professo or Dirk Spe ennemann and Dr Ro osemary Bllack invo Artificial skkyglow is growing olves light pollution. p g mo ore intense e and reacching out fu urther into the coun ntryside due e to the ove eruse of ligh hting and no on efficient lighting dessigns, particcularly outdo oor uplift lights. Onlyy a small pe ercentage of o stars are now n visible in the more e populated d areas of A Australia, witth astronom mers as fa ar away as Coonabara abran, NSW W, affected by b Sydney’s s skyglow. Dirk and Rosem mary’s proje ect aims to assess ligh ht pollution in national parks along g the eastern seaboard d of Austtralia and to o eventuallyy have thosse with the least light pollution dessignated as the best sttargazing siites. In ad ddition, the intention iss to calculate travel times to reach these darkk sky sites frrom urban areas. a To accomplish a this, SPAN acquired th he highest resolution r im mage of NA ASA’s Earth’s City Lightts: Thiss image wa as combine ed with the most A rece ent nationa al parks lo ocation data. popu ulation denssity datasett was then created using Census 2006 2 data, since lightts alone do not n equate e to popula ation levelss. This imag ge was the en reclassified using ArcGIS’s A Spatial Analysst to create e a map of light pollu uted areas. The next step will be to find f out how large the buffer b aroun nd the brigh ht areas sho ould be. To each e grid ce ell we will apply a Walke ers Law, a forrmula for esstimating skkyglow leve els. The final task will be b to determ mine driving times to th he best sitess. SPAN Newsletter, Jun ne 2008 Page 3 ○ ○ ○ ○ ○○○○○○○○○○○○○○○○○○ ○ ○ ○ ○ ○○○○○○○○○○○○○ Proje ects Data a SPA AN has been assistin ng Janine Friedrich, a master’s student at a Oran nge, with her h culturall research project. Janine J is applying a the e conccepts of so ocial catchm ments for community c participation n in natura al reso ource management (NR RM) to identify communities in rurral areas. Janine gathere ed data from m participa ants attending a series s of forumss aime ed at enga aging local communitie es in NRM. After co onsidering a num mber of options it was decided th hat spider diagrams d would be the e bestt method to o visualize the survey data, displaying both the originss and destination ns for socia al and com mmercial activities, as well as the e loca ation of NR RM meetings. After many m trials and tribula ations using g ArcG GIS tools and ArcSccripts to lo ocate the correct too ol, Hawth’ss Analysis Toolss for ArcGIS were se elected. Spider S diag grams were e crea ated for each forum location, em mploying th he Animal Movementss “Con nvert Locatiions to Path hs (points to o lines)” too ol. Com mparisons were w then made of Janine’s fiindings aga ainst socia al catcchment area as previoussly formulate ed by Peter Smailes. The spider diag grams were e also overllayed with Landcare, Eco-civic regions r and d catcchment ma anagement area shap pefiles. This T helped d to locate e overrlaps and discrepanccies in soccial catchm ment areas s of where e participants atte ended mee etings and where w they would be prepared to o trave el to for a similar meeting. Example of one of Janin ne’s social ca atchment ma aps showing travel t nd commercial activities and NRM meetings. destinationss for social an WEA ATHER DA ATA SPA AN has just rece eived upda ates to th he Bureau u of Mete eorology weather data sets to June 2008. Th hese data asets inco orporate data from m all BoM weather w stattions acro oss all of Au ustralia from m the date e of firs st recordings. Inclu uded in thes se datasetss are reco ords for: • D Daily minim mum and m maximum te emperatures; • D Daily rainfalll; • D Daily evapo oration; • H Hourly temp perature, p pressure an nd humidity;; • D Daily and ho ourly wind. CEN NSUS DATA A Altho ough mu uch of the Bureau Austtralian of Statistics’ data is now frreely available on line, it can n be quite time e tedious s and conssuming to download d la arge volumes or da ata for mulltiple sitess. To ass sist, SPAN has the purcchased 2 2006 data apacks an nd will also subsscribe to Table Builder when this beco omes availa able. Currrent datapac cks include: • B Basic comm munity profile; • Indigenous profile; Time series s profile; • T • P Place of enu umeration p profile; • E Expanded community c p profile; • W Working population pro ofile; • E Estimated resident p population profile. p Plea ase contactt SPAN for all yourr data requirements. SPAN Newsletter, Jun ne 2008 P Page 4
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