GvSIG

SEXTANTE, + 220 usoro maka gvSIG

sextant gvsig Dị nnọọ ka GRASS na-agbakwunye Quantum GIS, SEXTANTE na gvSIG na-eme ya, na-echekwa ọpụrụiche. Ha bụ ndị kachasị mma na mmekorita mmekorita n'etiti ụzọ ndị ọzọ na-emeghe emeghe na gburugburu ebe obibi, na-achọ izere mbiputegharị.

Mgbalị gvSIG na-eme ka ị nọrọ na njikwa ndị ọrụ na ọtụtụ Ike CAD a na-akwado ya na ihe niile e wuru na SEXTANTE mgbe ọ gbahapụrụ ya kpamkpam na SAGA wee ghọọ ọbá akwụkwọ maka ọtụtụ ihe omume GIS ndị ọzọ iji mezue ma gbasaa na njikarị azụmazụ ahụ. Lee, m na - egosi gị ndepụta nke 240 algorithms nke dị 1.9 gvSIG:

Nlereanya ihe atụ -Ihe di iche iche -Dominance -Nkewaputa -Number nke klaasị -dighi	Nchịkọta hydrological na-edozi - Igbaba ego -Agba -Nke site na nha -Anya mmiri na mpaghara ebe -Ndị ụgbọ mmiri na-aga n'ebe a nyere ya -Na-emetụ depressions -Red drainage Oge ọpụpụ
Ego, anya na ụzọ -Anakọtara (anisotropic) -Anakọtara (anisotropic) (B) -Anakọtara (jikọtara) -Anakọtara (isotropic) -Ọzọ maka ụzọ ndị ị ga-ahọrọ -Ibe maka ụzọ awara aha (anisotropic) -Nke maka ụzọ awara aha (anisotropic) (B) -Gụzọ ụzọ ọzọ - Onye na-eme ka ọ bụrụ akụkụ anọ - Ụzọ kacha mkpa -Sum akwụ ụgwọ na ihe niile	Nchịkọta mkpụrụ ndụ maka ọtụtụ edere rasta -Ikwenye obi - Ihe mkpuchi kachasị ọnụ - Obere mkpuchi obere -Contact ya na -Ọtụtụ karịrị -Gọtosis -Maximum -Mayor -Media -Mediana -Minimum -Ịdị mma -Rango -Varianza Geostatistics -Ọdịiche nke mgbanwe -Semivariances (rasta)
Geomorphometry na enyemaka enyemaka -Ndị mpaghara -Classification nke landforms - Agbanwe mgbanwe nke anisotropic -Curvatures -Ndị ọdịda - Ntọala elu - enyemaka - Ntọala ndozi -Idozi -Pendiente Ngwa nyocha maka ụra raster - Nkọwapụta Vector Vector - Nhazi ọkwa a na-ejighị n'aka (clustering) - Nhazi ọkwa - Nhazi ọkwa (B) - ROC - Nchịkọta ihe nyocha (AHP) Ụdị aghụghọ -Orderd Weighted Avaraging (OWA)	Ngwá ọrụ nkata maka eriri nku -Nye -Imezi ndọtị na data dị oke mma - Ịgbanwe ọnụ ọgụgụ - Chekwaa ụdị data -Achịkọta dị iche iche -Corlation n'etiti n'ígwé Akara akwa akwa akwa na akwa polygon -Akwụkwọ ọnụ ọgụgụ -3 x 3 iyo nke onye ọrụ ahụ kọwara -Histogram -Iche ihu -Nke ederede -Bịnye ụkpụrụ kachasị elu -Anyocha -Order -Reflect / invest -Anwepu mkpụrụ ndụ na-enweghị data -Nkpukpu na-enweghị data (site na agbata obi) -Ndị n'ígwé -Ideghari n'etiti uzo abua Ngwa nchịkọta maka akwa rasta - Atụmatụ map nke onye ọrụ
Ngwaọrụ maka akara n'ahịrị -Chineke a na-ahọrọ nke ọma -Ndị na-agba ọsọ na ngalaba dị mfe -Colvert polylines na polygons - Ihe ndozi na akara ntụpọ -Nzube nke uzo -Media directional -Nke ahihia mara mma -Geometric akara Njirimara - Kewaa polylines na nodes - Mee ka e dokwuo anya	Ngwaọrụ maka akwa polygon -Imezi isi ihe na polygon -Centroides -Akwuputa ihe na polygons -Convert polygons n'ime polylines -Ike di iche iche -Nwepụ gaps -Akwụkwọ ọnụ ọgụgụ na polygons -Intersection - Njirimara ala geometric -Union
Ngwaọrụ maka isi ihe -Edozi ntụpọ ntụpọ na oyi akwa ọzọ -Anyocha onye agbata obi Akara nke quadrants -Nye kọntaktị na isi -Ikwadoro autocorrelation -Cap nke ihe si na tebụl -Itu n'etiti - Ebe obibi na-anọkarị na ebe dị anya -Chineke ugwo -Ndị envelops -K site Ripley Ntọala ntụpọ nke isi -Matrix nke dị anya - Nlele akwa rasta - Na-edozi akara ngosi -Triangulation nke Delaunay	Ngwaọrụ maka categorical raster layers -Agafe agafe (Kappa Index) -Combine grids -Nke ndi mmadu na-achikota na nha -Akwụkwọ ọnụ ọgụgụ -Fragstats (metrics mpaghara / njupụta / onu) -Fragstats (usoro di iche iche) -Idebere site na tebụl na nkewa nkwekọrịta -Akwụkwọ ndepụta -Lagunarity Ngwaọrụ maka tebụl -Corlation n'etiti ubi -Akwụkwọ ọnụ ọgụgụ Ebe kachasị mma nke ihe -Okwusa ebe Ntughari uche - Chebe ihe omuma
Ngwaọrụ maka ihe ndozi veel vector -Ndị Igbe -Calculator nke ubi -Emechi mkpuchi na geometries random -Chọta (ụyọkọ) -Convert geometries na isi -Corlation n'etiti ubi -Cort -Cort site na ntanetị -Create reticle -Difference -Dissolve -Akwụkwọ ọnụ ọgụgụ -Export vector oyi akwa -Histogram -Juntar -Nkekọrịta ndi mmadu -Nkekọrịta ndi mmadu nwere otutu akụkụ -Test nke normality -Transform	Ngwaọrụ ịmepụta ọkwa ikpo ọkụ ọhụrụ -Na-achịkwa Bernoulli random okporo -Generargrid random nkịtị -Nkeghari usoro ichota - Mee ka MDT mechie -Grid si ọrụ mgbakọ na mwepụ -Grid nke bara uru mgbe nile Ọkụ na visibiliti - Ihe ngosi ngosi -Ekeputa anya -Ahụ ọhụụ -Ahụ nke ọhụụ (redfrequency) -Ndị radieshon - Mmiri na-acha ọkụ -Isi ike
Ahịa ọhịa -CTVI -NDVI -NRVI -PVI (Perry na Lautenschlager) -PVI (Qi et al) -PVI (Walther na Shabaani) -TTVI -TVI Profaili - Longitudinal profaịlụ -Ndị n'usoro dị ka usoro nhazi -Akwụkwọ ngalaba	Indices na ndị ọzọ hydrological parameters -Bala net site na sel - Imechi ihu - Jiri akụkọ ihe odide sụgharịrị mee ihe -Dịnye aka na netwọk ụgbọ mmiri -Nweputa na netwọk drainage - Onye isi C si NDVI Horagram nke geomorphological ozugbo Ntọala na-eserese -Length nke mkpọda -Ntu usoro -Aṅomi nke mmiri USP -Maximum uru upstream -Akwado uru dị elu
Usoro nchịkọta akụkọ -Akwụkwọ nke isi mmiri - Binomial ihe gbasara nke puru omume nkesa - Chi square ihe gbasara nke puru omume nkesa -Abu ihe puru omume nkesa -Anwere ike gbasara nkesa -Anwe ihe puru omume nkesa -Ọdịiche nke mkparịta ụka -Nke ihu -Region otutu	Rasterization na interpolation -Dee akara -Density -Density (kernel) -Ndị dị anya -Kriging -Kriging eluigwe na ala -Rasterize vector oyi akwa
Ntughari nke nkedo ala -Dịba na n klas nke nha nhata - Tinye n'ime klas nke otu mpaghara ahụ -Reclassify -Bụlee na klas nhazi -Nkeye na klas ikpo	Ọgwụgwọ na nyochaa ihe oyiyi - Thinning --Itu ihe oyiyi --Itu ihe oyiyi (site na regression) -Detect na vectorize osisi ọ bụla -Ikeha -Ero / Dilation -Akwalite mgbasawanye -HIS -> RGB -RGB -> HIS
Ịgba ume - Raster oyi akwa na-echekwa oyi akwa Ngwá ọrụ na-arụ ọrụ -Nwee akwa rasta (edozi) -Emee akwa raster (polygons)	Mpaghara nke ndu (buffers) -Ọzọ nke mmetụta (rasta) -Ọzọ nke mmetụta anya dị anya -Otu nke uzo di anya -Ọzọ nke mmetụta site n'ọnụ ụzọ

Site ebe a ị nwere ike ibudata SEXTANTE, mbipute dakọtara na gvSIG 1.9 (anụ). Wụnye ya naanị chọrọ mgbe ị rịọrọ ya, ị na-egosi ebe arụnyere gvSIG.