DATA TOOLS
Rajiv Gandhi Chair Pub. 5DATA TOOLSPARTICIPATORY RURALA PPR A ISA L JSgH N IQ U E SSI[\!DHU SADAI\IAI\IDAI\IP. niATARAJAlUJOSE AN TO N YV IP IN K U M A R V. P.RAJIV G A N D H I CHAIR IN C O N T E M PO R A R Y STUDIESS C H O O L O F ENVIRONMENTAL STUDIESC O C H IN UNIVERSITY O F S C IE N C E A N D TECHNOLOGY. C O C H I N - 2 2
Data tools:Participatory RuralAppraisal TechniquesDr.Dr.Dr.Dr.Sindhu SadanandanP. NatarajanDose AntonyVipinkumar. V. P.P u h lh h c d byR a j i v G a n d h i C l i a i r in C o i K e m p o r a r y S t u d i e sC ocfiin Ijn iv crsify o f S c ien ce and T ech n o lo g yC o c h i n - 682 022
Prof. Dr, P. N aiarajaiiR a jiv G andhi C lia ir Prol'essor,C?ochin IJ iiiv c rs iiy o fS c R 'iic c and Ic c iin u lo iiyC ochin -6 S 2 0 22Telephone : 04S4-257521!e. 2007, R a jiv Ciandhi C luur in ( o n ic n ip u ta ry S liid u sC iia u o n S tyle.S m O n v S (Jnunnd.in.P , J o s e A'tU'.ny . n ;D 1M Too ls P i i r t i a i x i t o r y R u r;ilC h w r P u b 5, C o c l t m . - U pI ’ n 'n U i l (I!JuM.' I’ rin tc ibS d u ili KalaniasseryC ochin Phone: 04S4 - 2556324r .,V P . 2007.G an ah i
S R E E S A N K A R A C H A R Y A U N I V E R S I T Y O F S A N S K R ITiA4nsK-een w W i m 4 m c * m V a* 1KftlsflkIH (/ i'i«tk 1a*n n«ll . 1 K»rBl«. lf 0ij 9i-46*-?4&3seoPrtStC* MB*- «636aOK .S . R A 0 H A K R 1 S H N A HFOREWORDP a r l ic iM to r y RtirHl A p prais a! ( P R A ) im p re gnates van ous pa n ic ip a lv r y approachesar.C. iv e th o d s f.'JSf e n a b le s a a e v e io p r u e n t o a s e a on lo c a l knowlecJge S u c h an ap p ro acheri'in c ia ie s app ra is ai. a n a ly s i s a n d a e cisio n m a k in g b y lo c a l p e o p l e t h e m s e lv e s tor thed ev elO p:iisn; p r o c e s s w hic h in (u rnO eiie.'i'fs th e m o r t h e ir c o m m u n i t y a s such T h e p u r p o s er.l P R A IS eQvUaOle a n d in clu siv e d e v e lo p in e n i in tvhich m e p a n i c i p a n t r e c eives b e n e h ls as?.cco'd:rjg to the d ev elo p m e n t p a t t e r n d e s ig n e d b y them H e n c e t lt eresp o n sib ih lyo t sustainingt h e t:ci'elits r ests witr, t h e p a r t ic ip a n t a n a the suc cess r a t e of s u c h in clusiv e d e v e lo p m e n tpa!te': IS signiiicar', l o r o b v io u s r e a s o n s .T h e d e v e lo p m e n t p r o f e s s i o i w i s a t R a /i v G a n d h i C h a i r h a s d e v e lo p e d a n dcon 'Jiictod a P R A'D ata T o o ls ' P a r.ic ip a to r y R u ra l A p p r a is a l T e c h n i q u e s ’ is p rim a rily thep r o d u c t a ! a n im p le m e n ta tio n p r o c e s s o l that P R A T o o l T h p h e l d t e s t w as e a r n e d o ut inA s s a n i a n n o o r P a n c h a y a t, O d a k a i i reg io n o l K a la d y in S r n a k u ia m District. T h e d a t a tootsd e v p io p e d t o r a pp ra is ing r u ral e n v ir o n m e n t through p a rtic ip ato ry m o d e is well e m b e d d e dw n r in ii conte xt. T h e tools a r e t o u n d to b e r e s p o n s iv e to tlie p a r tic ip a n ts ' nee ds. It h a si n c o r p o r a te d tessons fro m p r e v i o u s e x p e rie n c e s , a t t h e s a m e t im e do n o t d up licate witho th o i activities F ie ld p e r s o n n e l h a v e faci lita ted i h e data collection a n d ana ly sis u nd erta k enb y lonul (w op 'e . This tacihtation h a s a ls o f u n c t i o n e d a s a co m m o n p l a l lo m i Ip rstiaredlean in gb e t w e e n l o c a l p e o p le a n d d e v e l o p m e n t pr o le s s io n a l. T h e m a n a g e r s o ' t h e tool h a v eeiicOL'ragod creativ e s u g g e s tio n s fro m lo cal p e o p le in im p ro vin g t h e t o o l a n d also m otiv a te dt h e i ie ia p e r s o n n e l m le a r n in g fro m h e l d s p e cilic app licatio n o l P R A .T h e p r e s e n t pu b lic a tio n h a s i n co rp o rated alt t h e n e w kn o w le d g e , e s p ecia lly Heldspe cili/: tlint h a s b e e n r e c e i v e d Iro tn t h e v illa g e - b a s e d s t u d yT h e insights h a v e b e e ntre.niend cus a n d a d d s ignihcantly t o t h e tlieoretic al k n o w le d g e o l P R A .I wish to e x p r e s s m y a p p re c ia t io n lo r the s in c e r e e tio rts ta k e n b y Dr. SindhuS a d a n a n d a n . Dr. P . N a t a r a j a n , Dr. J o s e An tony, a n d Dr. V ip i n k i im a r . V Plo r bringing outthis cxc,:llnnt publication.D r , K .S . R a ilh a k ris h n a nC cv'K l 0* W oM AJTsjrs. NtM OvIH G ovorongincfcRr Coundi of PM otophicM R s M o rtf. New Ooverniryg C o v i. M sdrsg iri&scurs o t D0v«0(j riQ0l S«ikSI9 9 .R9W V C«H oi/ftpS o u thf ' O . . K o c tV i'A t? 027PhOfit: 04A4«?430B01
PREFACEP a r t i c i p a t i o n i m p l i e s i n v o l v i n g l o c a l p e o p l e in th ed e v e lo p m e n t o f p la n s a n d a c tivities d e s ig n e d fo r th e ir welfare. In it'sa d v a n c e d form, p a rtic ip a tio n is a co n tin u o u s p ro c e s s o f negotiationa n d decision m a k in g w hich o ccu rs a t v arious le v e ls a n d with thew h o le c o m m u n ity o f sta k e h o ld e rs . This c o u ld b e a c h ie v e d throughvarious p a rtic ip a to ry m e th o d s includ ing p a rtic ip a to ry rural app ra isalt e c h n i q u e s ( P R A ) , p a r t i c i p a t o r y l e a r n i n g a n d a c t io n (P L A ),p a r J’ c i p a l o r y a c tio n r e s e a r c h (PAf ), p a r t ic i p a t o r y te c h n o lo g yd e ve lo p m e n t (P T D ), a n d fa r m e r fie ld s c h o o l (F F S ). A m o n g these,P R A h a s b e c o m e m o r e p o p u l a r a m o n g f i e l d p r a c t it io n e r s ,d e v e lo p m e n t re s e a rc h e rs a n d o th e r p ro te s s io a a is sin ce it funcd'onsas an effective m e d iu m to inv o lve local p e o p le In th e decision making,re s e a rc h a n d d e v e lo p m e n t processes.P R A w a s first u s e d in the late 198Gs. S ince then it becam ew id e ly u s e d in m a n y c o n te x ts including, c o m m u n ity developm ent,in d ig e n o u s te c h n o lo g y a ss e s s m e n t, liv e lih o o d e n h a n c e m e n t a n do th e r d e v e lo p m e n t initia tive s. The im p o rta n c e o f P R A lie s in itsu n iq u e n e s s in a d a p tin g to lo c a l situations. The to o ls d e v e lo p e d inth e p re s e n f coniexJ h a v e b e e n a p p lie d in a s e le c te d villa ge in Kerala.The o utcom e o f su ch a n e x p e rim e n t is w orth e m u la tive fo r estimatingru ra l p eculiarities re la te d to agriculture, fisheries, liv e s to c k a n d otherliv e lih o o d options o f ru ra l p o p u la tio n . The e x p e c ta tio n from writingth is b o o k w o u ld b e fu l f i ll e d i f m a n y o f o u r v o lu n te e rs o f ru r a ldevefopm erit, e n g a g e d in p o licy-m a kin g , a ctio n a n d re sea rch canre a lize that p a rtic ip a tio n o f ru ra l p e o p le is p o s s ib le a n d beneficial.T h e y can fu rth e r s p re a d th e m e s s a g e o f p a rtic ip a tio n from th e ir owne xpe rien ces.
The a u th o rs a re g r e a t l / th a n kfu l to th e M in is try o f Hum anR e s o u r c e s D e v e lo p rrie n t ( M H R D ), G o v t O f In d ia f o r p ro v id in gn e c e s s a r y g ra n t to b rin g o u t th is v a lu a b le c o n trib u tio n . The authorsa ls o e x p re s s th e ir p r o fo u n d g ra titu d e to Prot. (D r.) P. K. A b d u l Azis,V ic e -C ha nce llor, C oc h in U n iv e rs ity o f S c ie n c e a n d T e c h n o lo g y forh is c o n s ta n t e n co u ra g e m e n t, a d v ic e a n d support.V e ry s p e c ia l th a n k s a re d u e to M s. R a ji K .P illa i. VinodM a la yile th u . D eepa. G .D , A n e e s h K u m a r K .V a n d D ip so n . P .T ofR a j i v G a n d h i C h a ir in C o n t e m p o r a r y S tu d ie s f o r th e ir s in c e rea s s o c ia tio n with this im p o rta n t work. We a r c o b lig e d to Mr. JoseC h e ria n a n d M r Ginu. M /s J o s e P rinters fo r th e n e a t c x c c u tio n o fthis p u blica tion .Authors
CONTENTSF o re w o rdP refa c ei n t r o d u c t i o n . 9P a rtic ip a to ry M e th o d s : A n O v e r v ie w . 20P a rtic ip a to ry R ural A p p ra is a l (P R A ) T e c h n iq u e sIVJapping Te c h n iq u e s S ocial m a p p i n g . 22 R eso u rce m a p .24 M o bility m a p . 26 B asic info rm a tio n m a p . 27 T ra n s e c t w a l k s .27 Venn d i a g r a m s . 29R an k in g E xercises P re fe re n ce r a n k i n g . 30 P ro b le m t r e e . 32 im p a ct d ia g r a m . 34 B io -resource flo w d ia g r a m . 35T r e n d A n a ly s ts T im e l i n e .36 Tim e t r e n d . 37 S e a so n a lity a n a ly s is .38«Daily a ctivity c h a r t s . 40S u m m a r y .43R e fe re n c e s
INTRODUCTIONI n s t i t u t i o n s o f a ll t y p e s h a v e lo n g b e e n r e lie d o nq u e s tio n n a ire s u rve y s a n d q u ic k rural visits to g a th e r inform ation onrural people and rural re so u rc e s. S a m p le s o f p e o p le se le cte d froma large p o p u la tio n a re a s k e d the s a m e set o f q u e stio n s, an d so it isa s s u m e d th a t the in te rv ie w e rs d o n o t in flu e n ce th e process. Manyin fo rm a n ts a re s e le c te d to a c c o u n t to r all v a ria tio n s , a n d th ere q u e s tin g d a ta a re s ta tis tic a lly a n a ly z e d . S u re ly th e s e s u rve ym e th o d s a re g e n e ra lly a c c e p te d fo r data co lle ctio n an d are used.B ut th e re are p ro b le m s w ith q u e s tio n n a ire sun/eys. Theq u e stio nn a ire m a k e r has to d e te rm in e the q u e stio n s w ell in advance.Y e t th o se w ho d e sig n th e s e in stru m e nts m a y not k n o w w hich issuesa re im p orta n t fo r local p e o p le . So they te n d to in c re a s e the n u m b e ro f q u e s tio n s to e n s u re th a t all re levan t issue s a re co ve re d. Thisle a d s to fo rm s o f a b s u rd length, w ith se ve ra l h u n d re d questionsco n su m in g hours to a dm inister. In the structured survey, the ill trainede n u m e r a t o r fu r th e r in f lu e n c e s th e p ro c e s s b y p ro m p tin g w ithan sw e rs. In a q u e stion n a ire survey, people are the o b je cts of enquiryo r inve stiga tio n a n d are tre a te d as passive entities. T h e y have noin v o lv e m e n t in th e e n q u iry g o in g on a n d c a n n o t in flu e n ce its sensea n d d ire c tio n . T h e o u ts id e rs ' u n d e rs ta n d in g o f a situ a tio n o r ap h e n o m e n o n is c o n s id e r e d th e o b je c tiv e . T h e d u ra tio n o f tim ein v o lv e d fro m d e s ig n in g a q u e s tio n n a ire s u rve y to p u b lish in g itsresults tends to be a long a n d elaborate process. A s a consequence,m u c h o f th e in fo rm a tio n c o lle c te d th r o u g h a s u r v e y b e c o m e so u td a te d and o f lim ite d u s e in fra m ing of p o licie s a n d program m es.T h e fallacies of p re su m p tio n fro m the top have d on e enough dam ageto th e pursuit o frural d e v e lo p m e n t. M a n y of th e a m b itio u s targetso f rural d e v e lo p m e n t h a v e b e e n met, yet, a large p ro po rtio n o f ruralrriasse s re m a in s ind e p lo ra b le co n d itio n s of e x is te n c e a n d thep ro g ra m m e s have larg e ly b e ne fite d th e “b e tte r offs" in rural areas.Ase m pirically e v id e n t fro m th e e xp erie n ce s of m a n y developingc o u n trie s , th e c o n v e n tio n a l a p p ro a c h h a s c o n s is te n tly fa ile d toa n s w e r the p h e n o m e n a o f poverty, u n e m p lo y m e n t, ine q ua lity ande c o lo g ic a l d e g r a d a t io n s . It is b e in g s lo w ly r e a lis e d th a t o u rc o n ve n tio n a l m o d e ls a re n e ith e r realistic n o r s u s ta in a b le in th e longrun. A s a re su lt o f th e d isillu s io n m e n t from the c o n ve ntion a l m odelss o m e e ffo rts w e re being m a d e in different q u a rte rs to w a rd s realistic
m e th o d s , m o d e ls a n d a p p ro a c h e s . A s a result, a m u ltitu d e ot field o r ie n te d m e th o d s e m e rg e d in the s c e n eN ev ; a p p ro a c h e s andm e th o d s su ch as fa rm ing s y s te m research, e x p lo ra to ry su /ve y, rapiaru ra l a p p ra isa l a n d o th e rs, w h e th e r th rough o b s e rv a tio n or throughp a rtic ip a tio n , a tte m p te d to u n d e rsta rid the p ro b le m s oI re so u rce p o o r fa rm e rs an d im p ro v e d th e q ua lity of in fo rm a tio n collected onth e m b y o v e rc o m in g the d e fic ie n c ie s of th e c o n v e n tio n a l surveym e th o d .T h e re q u ire m e n t of th e shifting p a ra d ig m o f developm entw a s n o t o n ly a relatively q u ic k e r m eth o d o f d a ta c o lle c tio n but alsoo n e w h ic h w o u ld h e lp local p e o p le to p e rfo rm th e ir o vn analysis.H e n c e , c e rta in e le m e n ts w e re re q u ire d to b e m c o rpo ra io c) m RapidR u ra l A p pra isa l (R R A ) and o th e r field- o rie n te d m e th o d s to maketh e m participatory. It w a s a s h ift of e m p h a s is fro m ra p id or quick top a rtic ip a to ry and e m p o w e rin g w hich titled w e ll w ith a participatorya p p ro a c h to rural d e v e lo p m e n t and b e c a m e th e s ta rtin g point ofP a rticip a to ry Rural A p p ra is a l (PH A).P A R T IC IP A T O R Y R U R A L A P P R A IS A L (P R A )T h e origin of P R A a s a m e th o d o lo g y ca n bo fta c o d back toth e m u ltitu d e of m ethods a n d a p p ro a c h e s , w h ic h g ra d u a lly emergeds in ce the se ve n tie s m a m ly d u e to u n s a tis fa c to ry re s u lts obtainedfr o m th e a p p lic a tio n o f th e c o n v e n tio n a l m e t h o d o lo g y to rurald e v e lo p m e n t.In a very s h o rt tim e P R A as a m e th o d o lo g y hrts gained ins tr e n g th th ro u g h its e m p h a s is on p a r tic ip a tio n in lin e w ith thep a ra d ig m a tic shift w h ic h is s lo w ly taking p la c e a n d ha s h e lped to fillth e v a c u u m existing in the s p h e re of rural d e v e lo p m e n t. Participatoryru ra l a p p ra is a l is a m e t h o d o lo g y fo r in te r a c tin g w ith villagers,u n d e rs ta n d in g th e m a n d le a rn in g fro m th e m . It in v o lv e s a set ofp rin c ip le s , a p ro c e ss o f c o m m u n ic a lio n s a n d a m e n u o f m ethods fors e e k in g villa ge rs' p a rtic ip a tio n in p u ttin g fo rw a rd th e ir points of viewa n y iss u e s a n d e n a b lin g th e m to d o their o w n a n a ly s is w ith a viewto m a k e use of such le a rn in g . It initia te s a p a rtic ip a to ry process ands u s ta in s it.P R A is a m e a n s o f c o lle c tin g d if f e r e n t k in d s o f data.Id e n t if y in g a n d m o b iliz in g in t e n d e d g r o u p s a n d e v o k in g theirp a rtic ip a tio n a n d a ls o o p e n in g w a ys in v.fu cfi jn lc n d e d g ro u p s can
p a rtic ip a te in d e c is io n m a k in g , p ro je c t d e s ig n , e x e c u tio n a n dm o n ito rin g . B e c a u s e o f its p a r tic ip a to r y n a tu r e , it is a usefulm e th o d o lo g y to fo c u s a tte n tio n o n people, Ih e ir live litio o ds a n d theirin te r re la tio n s h ip s w ith s o c io - e c o n o m ic a n d e c o lo g ic a l fa cto rs.P articip a to ry rural a p p ra is a l is a short- c u t m e th o d o f d a ta collection.It is a m e th o d o lo g y fo r a c tio n re se a rche s w hich , u tilize s a range ofte c h n iq u e s . It in v o lv e s lo c a l p e o p le a n d o u ts id e rs fro m differentse cto rs and discip lin e. O u ts id e rs facilitate local p e o p le in analyzinginform ation, practicing c ritica l self- a w are n e ss, ta k in g responsibilitya n d sharing their k n o w le d g e o f life and c o n d itio n s to plan and toact.O B J E C T IV E S O F P R AThe use of P R A lies in pu rsu ing s e le cte d o b je ctiv e s througha pplications o f its p rinciples, p ro ce s se s a n d m ethods. S om eo f the o b je ctive s a re g iv e n below:a) For g re a te r and b e tte r invo lvem e n t o f v illa g e rs by learningabout th e ir p e rc e p tio n s , e xp e rie n ce and capabilities.b) T o g e n e ra te in fo rm a tio n and collection o f d a ta for im m ediateo r futu re use.c) For learning a b o u t th e im pa cts of e a rlie r o r on-g oin g policiesand p ro g ra m m e s a n d to fra m e n e w ones.d) For e s tim a tin g tre n d s a n d ascertaining c o n d itio n s of theirissues.e) For validation o r c ro s s ch ecking o f d a ta co lle cte d fro m othersources.PRA is a p ro ce s s o f pa rticip a tio n w ith th e v illa ge rs in whichrap p o rt building p a v e s th e w a y for th e m to p e rfo rm their owna n a ly sis a n d to e x p re s s th e m s e lv e s w h e th e r b y m e a n s of"verbals" like n a rra tio n o r “visuals” such as m a k in g a map.W H Y PRA?Participatory R ural A p p ra isa l is e m e rg e d as a resp o n se to twom ajor co n c e rn s of rural social research not a d e qu a te ly satisfiedby co n ven tio n a l m e th o d s . T o d e v e lo p local p e rs p e c tiv e by b e co m in g m o re responsiveto local p e o p le a n d local situations.
T o e v o lv e a m e th o d o lo g y w h ic h c a n p ro v id e tim e ly and coste fte c tiv e in fo rm a tio n .H o w e v e r th e shift fr o m R R A to P R A re p re s e n ts a change inattitude, o b je c tiv e s a n d o u tco m e s.P R IN C IP L E S O F P R A1)O p tional ig n o ran ce. T h is refers to the im p o rta n c e of knowingw ha t it is n o t w o rth kn o w in g . It a v o id s u n n e c e s s a ry detailsa n d irre le van t data, it d o e s n o t m e a s u re m o re precisely thanis ne e d e d a n d it o p tim iz e s trade of b e tw e e n q u a lity, relevance,a cc u ra cy and tim e lin e s s.2)S e e k in g d iv e rs ity : P R A is c o n c e rn e d m o re w ith analysis ofdifference rather than loo kin g for re p re s e n ta tiv e n e s s of resultso r data collected. It is lo o k in g for d iv e rse rural eve n ts, differentp ro ce s se s a n d fo rc e s e xp la in in g v a rio u s re la tio n s h ip s in ruralco m m unities.3)O ffs e ttin g b ia s e s ; E s p e c ia lly u s e d in ru ra l d e ve lo p m e n ttourism , w h ich in c lu d e s b y b e in g re la x o d ;m d not rushing,listening not lectu rin g , p ro b in g in s te a d o f p a s s in g the nexttopic, being u n im p o s e d ins te a d of im p o ru in t, a n d seeking outthe p o o re r p e o p le a n d th e ir c o n ce rn s .4)T ria n g u la tio n : It is an im p o rta n t p a ri of P R A . F-or a n y datag e n era te d, it is e s s e n tia l to c h o c k the ro lia h ility an d validityof th e data b y p u ttin g th e m to d ifle ro n l tc s is T ria ngu la tion isc ro s s ch e ckin g the d a ta m d ilfe re n t w a y s It is d o n e throughu se s o f v a rio u s m e th o d s a n d by u s in g d iffe re n t sources tova lid a te info rm a tio n . T ria n g u la tio n is a d o p te d a s a principleto im p ro v e a c c u r a c y . It in v o lv e s c o n s c io u s , no n randomselection in d iffe re n
one which would help local people to perform their o vn analysis. Hence, certain elements were required to be mcorporaioc) m Rapid Rural Appraisal (RRA) and other field- oriented methods to make them participatory. It was a shift of emphasis from rapid or quick to participatory and empowering which titled well with a participatory
Pro Tools 9.0 provides a single, unified installer for Pro Tools and Pro Tools HD. Pro Tools 9.0 is supported on the following types of systems: Pro Tools HD These systems include Pro Tools HD software with Pro Tools HD or Pro Tools HD Native hard-ware. Pro Tools These systems include Pro Tools software with 003 or Digi 002 family audio .
Title: ER/Studio Data Architect 8.5.3 Evaluation Guide, 2nd Edition Author: Embarcadero Technologies, Inc. Keywords: CA ERwin data model software Data Modeler data modeler tools data modelers data modeling data modeling software data modeling tool data modeling tools data modeling with erwin data modelings data modeller data modelling software data modelling tool data modelling
Automation test script is repeatable Proficiency is required to write the automation test scripts. A. Automation Tools Categories Software testing automation tools can be divided into different categories as follows: Unit Testing Tools, Functional Testing Tools, Code Coverage Tools, Test Management Tools, and Performance Testing Tools.
neric Data Modeling and Data Model Patterns in order to build data models for crime data which allows complete and consistent integration of crime data in Data Warehouses. Keywords-Relational Data Modeling; Data Warehouse; Generic Data Modeling; Police Data, Data Model Pattern existing data sets as well as new kinds of data I. INTRODUCTION The research about Business Intelligence and Data
given to the interested staff about Web 2.0, for example, Web 2.0 workshop series concerning presentation tools, content creation tools, research tools, survey/voting tools and collaborative tools. In fact, an e-book entitled 'Web 2.0 Research Tools: A Quick Guide' has been published online by the co-director of the Academic
The QA Plan Tools includes a list of the tools followed by examples of the tools. These tools are some of the most important tools in the toolkit because they provide the basis for the QA process. The entire document for each of the tools is included because these are helpful to the jurisdictions for conducting QA. Quality Assurance Plan Tools
2. Multi Point Cutting Tool The cutting tools may also be classified according to the motion as follow: 1. Linear motion tools 2. Rotary motion tools 3. Linear and Rotary motion tools 3. VARIOUS TYPES OF SINGLE POINT CUTTING TOOLS AND THEIR USES 3.1 Tools for Lathe machines: 1. Turning tool 2. Facing tool 3.
SANDER MANUAL LAGUNA TOOLS 2072 Alton Parkway Irvine, California 92606 Ph: 800.234.1976 MSANWB37X75-10-0197 . Laguna Tools, Inc. is not responsible for additional tools or modifications sold or performed (other than from/by Laguna Tools, Inc.) on any Laguna Tools, Inc. machine. Warranty maybe voided upon the addition of such described tools .
