Pre-Release Tests Guide

Pre-Release Tests Guide

The minimum set of tests to be executed over an installed version of TerraView are described bellow. The idea is to execute all of then just before releasing a new version of TerraView.

All data are stored at http://www.dpi.inpe.br/terralib5-devel/data_teste/. Other data are available at http://www.dpi.inpe.br/terralib5-devel/data.zip and are used by executable examples and unittests.

Dir	Datasource description
AMZ_shapes	Big shapes of Amazonia
Animation.zip	data used to test the Spatial Temporal
mdb_TView4.2.2_to_convert	TView4.2.2 datasources to test the converter
ESRIDATA	data of North America
PARA_STATE	big shapes of Pará State
PA_E_TAPAJOS	Postgis datasources of Tapajos
attr_fill	data used to test attribute fill function
data_pedro	data used to test attribute fill function
dados_queimada	some data of Queimada project
images	images
KML	some KML files
Postgis_bkps	Postgis datasources
rasters\rasters_t	some rasters files (new)
rasters	some rasters files
shps	some shapefiles and other vector format like KML, mid/mif files
shps/	several zip files to be used in tests

Each test must have:

Test Case	description
Access Through	Menu option used to access the functionality
Input data	one or more datasources or a databases in a datasource
Interface(s) Name(s)	specific options chosen in a interface
Expected behavior	what should be the behavior
Output Data	what should be the output - a new datasource, a new layer, etc
Output Test Report	write in a test report comments
Output Error Report	write in a error report all misbehavior
Known Issues	write the known issues

Optional rules for output names saved in your working directory 'test_report':

What to name	Rule	Example	description
Project name	p_<project_name>_<main_func><x>	p_df_conv	Converting Database Distrito Federal (df)
Database name	db_<data>_<func><x>	db_df_conv	Database generated by converting DF
Figures	f_<func>_<data><x>	f_conv_df1	Print screen of some problems
Raster_dir	rst_<func>_<data><x>	rst_conv_df1	Raster directory generated by converting
Output Layer name	t_<func><overdata?><x>	t_aggr_mesoregiao_para	Test of Aggregation function, using attr mesoregiao do Pará

Plugins | Terralib4 Converter... |

Input	Output Data	Main Interface Options			Results
Select Database from mdb_TView4.2.2_to_convert dir	Target DataSource(type/name) / Target Raster Folder	Layer Creation	[MSG]	Theme Creation	Results(Layer Explorer)	Known issues to be solved from 5.1.4	[Save Project]
DF_MODELO_DADOS.mdb	Microsoft Access + <dir>/db_conv_df1 + none	Select All	Warning with all raster layers	Deselect All	7 vector,2 tabular	Mapa Pedol?gico	p_conv_df1
DF_MODELO_DADOS.mdb	Microsoft Access + <dir>/db_conv_df2 + <dir>/rst_df2	Select All	none	Select All	16 rasters, 2 tabulares, 7 shapes	Mapa Pedol?gico	p_conv_df2
BD_RioJaneiro_Original_4_2.mdb	Microsoft Access + <dir>/db_conv_rj1 + <dir>/rst_rj1	Select All	msg(1)	Select All	1 rasters, 3 vector	'Bairros' não será convertido - poligonos com centroides no mesmo layer- aviso será dado	p_conv_rj1
BH_422.mdb	Postgis	Select All	msg(3)→ OK	Deselect All	24 layers
BH_422.mdb	Postgis	Select All	none	Deselect All	30 layers	used connection CP1252
para_422.mdb	MAccess+ <dir>/db_conv_para	Select All	none	Deselect All	1 Layer 143 pol	Verificar se municipios formados por mais de um polígono são convertidos:munic VISEU,AUGUSTO CORREA,CURUÇÁ, SENADOR JOSÉ PORFÍRIO. Importar shape original para_shp_compare.zip (143 pol)and comparar	p_conv_para_munic
AmazL_FILO.mdb	MAccess+ <dir>/db_conv_Amz	Select All	none	Deselect All	? Layer, ?Tabular, ?Raster,? CelularSpace		p_conv_Amz512
Pratica_celulas.mdb e export_pratica_celulas_setores_censit2000.zip	MAccess+ <dir>/db_conv_pratica_cell	Select All	none	Deselect All	6 Layer,2 Raster, 7 layers(temas) same celular	Poligonos com furos estão com links duplos ao selecioná-los pelo mapa - ver object id 29,30,44 - exportar o layer 'Setores_Censitarios_2000' do TV4.2.2 e adicioná-lo no TV5.2.x - ocorre o mesmo problema

msg(1):

ImagTM543_RJ: D:/BD_Geograficos/TView_DATABASES/BDRJaneiro/Shapes/ImagTM543_RJ.tif

Voronoi: Layer invalid: table without attributes!

Msg(3) >resolvido

Bairros: Could not execute the prepared query due to the following error: ERRO: sequência de bytes é inválida para codificação “UTF8”: 0xc3 0x4f .

CompanhiasPM: Could not execute the prepared query due to the following error: ERRO: sequência de bytes é inválida para codificação “UTF8”: 0xaa .

Favelas: Could not execute the prepared query due to the following error: ERRO: sequência de bytes é inválida para codificação “UTF8”: 0xf3 0x73 0x69 0x74 .

test_cell_2000: Could not execute the prepared query due to the following error: ERRO: sequência de bytes é inválida para codificação “UTF8”: 0xe3 0x6f 0x20

test_exchange_br_munic_shp: Could not execute the prepared query due to the following error: ERRO: sequência de bytes é inválida para codificação “UTF8”: 0xed

UP: Could not execute the prepared query due to the following error: ERRO: sequência de bytes é inválida para codificação “UTF8”: 0xed 0x6c 0x69 .

Known issues	What do to?
Char encoding like 'Mapa Pedol?gico'	From 5.1.4 Layer will be converted with other name“Pedologico”, otherwise change layer-name before convert.
Vector Conflit name	Remove the target datasource before trying again the conversion
Raster Conflit name	Remove the raster directory before trying again the conversion
Char encoding like“sequência de bytes é inválida para codificação “UTF8”: 0xe3 0x6f 0x20” 5.1.x	create/update database connection with Client Encoding as CP1252 or LATIN1 to be able to convert the database to Postgis
Char encoding nos TView 5.2.0 foi resolvido para valores	layer-name será retirado a acentuação
Dados do TView4.2.2 com mais de uma representação (polig/pontos/lines) somente uma delas será convertida na ordem pol/lin/points	outra solução é exportar o dado via TView4.2.2 e adicionar os shapes correspondentes a poligonos/pontos/linhas

Project | Add Layer

Tabular File...

Select from dir 'shps'	Main Interface Options		Results
Input Layer / see Preview	Properties/Geometry/SRID	[MSG]	Layer Explorer	Known issues	[Save Project]
Concentracao_CR2010.csv	do not change [OK]	none	1 Tabular Layer		p_add_layer
Concentracao_CR2010.csv	Change Property type String to Int [OK]	none	1 Tabular Layer
fire_spot_sp.csv.csv	Change LAT and LONG to Double,click Geometry, choose LONG LAT [OK]		1 Vector Layer POINT	Changing “Encoding” to “Latin1” does not work. Before adding this cvs file, open it at Notepad++ and Format, use Convert to UTF-8 (without BOM)

Vector File...

Select from dir 'shps' or 'kml'	Results
Input Layer	Layer Explorer	[Save Project]	Known Issues
br_uf_2010.SHP	br_uf_2010	p_add_layer
15MUE250GC_SIR.shp	15MUE250GC_SIR	p_add_layer
PA_15-PA.kmz	One layer for each municipio of 'Pará' state and one called 'Municipios'	p_add_layer	1) if the kmz file is added in a 'Folder layer', all files will be under the folder (from 5.3.0 on); 2) a layer called 'Municípios' is not visible because has zero geometry; 3) use Drag and Drop kmz files ou use ADD Layer, Vector Files (.)
SP35_SP_capital.kml	Layers: 'Municípios' and SÃO PAULO	p_add_layer	same comment above

Raster File...

Select from dir 'rasters_t'	Results
Input Layer	Layer Explorer	[Save Project]
CBERS_4_PAN10M_20161028_152_144_CROP2_L4_BANDS_342.tif	CBERS_4_PAN10M_20161028_152_144_CROP2_L4_BANDS_342.tif	p_add_layer
MCD12Q1.A2001001.h13v10.051.2014287162609.hdf (unzip)	several layers (subdatasets with diferent names)	p_add_layer

Project | Add Layer | From Data Source... (Local Directory of Vector or Raster files)

Data Source Selector			Dataset Selection		Results
Type	Available Data Sources	Select	Check box all/some	Select	Layer Explorer	[Save Project]	Known Issues
Vector Files	C:/data_TL/SHPs or RSTs	Select	BR_UF_2010	Select	BR_UF_2010	p_add_layer
Vector Files	(+) Define OGR Connector C:/data_TL/SHPs + Open	Select	br_uf_2010	Select	br_uf_2010	p_add_layer
Raster Files	(+) Define GDAL Connector C:/data_TL/RSTs + Open	Select	raster file	Select	raster file	p_add_layer	Only raster format allowed at this directory ?? if some shapes or other things CAI

Project | Add Layer | From Data Source... (From Microsoft Access or PostGIS)

Data Source Selector			Dataset Selection		Results
Type	Available Data Sources	Select	Check box all/some	Select	Layer Explorer	[Save Project]	Known Issues
PostGIS	(+) Define PostGIS Connector¹⁾ + Open	Select	br_uf_2010	Select	br_uf_2010	p_add_layer	You must have a PostGIS datasource (local / Server)
M Access	(+) Define Access Connector²⁾ + Open	Select	br_uf_2010	Select	br_uf_2010	p_add_layer	You must have a Access Datasource

Project | Add Layer | From Data Source... (WCS/WFS/WMS)

Data Source Selector			Dataset Selection		Results
Type	Available Data Sources	Select	Check box all/some	Select	Layer Explorer	[Save Project]	Known Issues
WCS	(+) Define WCS Connector³⁾ + Test/Open	Select	click one/some of then	Select	layers selected	p_add_layer	Time out might occur
WFS	(+) Define WFS Connector⁴⁾+ Test/Open	Select	click one/some of then	Select	layers selected	p_add_layer	Time out might occur
WMS	(+) Define WMS Connector⁵⁾+ Test/Open	Select	click one/some of then	Select	layers selected	p_add_layer	Time out might occur

Project | Add Layer | Query Dataset...

Processing | Raster Processing

Mosaic...

Select from dir 'rasters_t'	Main Interface Options		Results
Layer Search	Mosaic Type and Specific Params	Output name	Layer Explorer	Known issues	[Save Project]
Path150_RGB765.tif & Path151_RGB765.tif &…	Geo Mosaic & Euclidian Distance	m_150_151.tif	m_150_151.tif with SRID=32724

Arithmetic Operations...

Select from dir 'rasters_t'					Results
Layer (…)	Band	Operation	Layer (…)	Band	Output name	Known issues
CBERS_4_PAN10M_20161028_152_144_CROP2_L4_BANDS_342.tif	1 +	/	CBERS_4_PAN10M_20161028_152_144_CROP2_L4_BANDS_342.tif	2 +	t_arithmetic.tif	Keep Normalize option checked, the original green circles will result in white circles

Clipping...

Select from dir 'rasters_t'				Results
Layer (…)	Type	Option	Operation	Output name	Known issues
CBERS_4_PAN10M_20161028_152_144_CROP2_L4_BANDS_342.tif	Region of interest	Unique Image	Select region in canvas, creating 1 ROI	t_clipping.tif	-

Compose/Decompose Bands...

Select from dir 'rasters_t'				Results
Layer (…)	Operation	Options	Band	Output name	Known issues
CBERS_4_PAN10M_20161028_152_144_CROP2_L4_BANDS_342.tif	Compose Bands	3x button (+)	1, 2, 0	t_compose.tif	The resultant image will have a reddish aspect.
CBERS_4_PAN10M_20161028_152_144_CROP2_L4_BANDS_342.tif	Decompose Bands	Check all bands	-	t_decompose.tif	The result will be 3 files, namely t_decompose_0.tif, t_decompose_1.tif and t_decompose_2.tif.

Mixture Model...

Select from dir 'rasters_t'					Results
Layer (…)	Type	Options	Bands	Components	Output name	Known issues
CBERS_4_PAN10M_20161028_152_144_CROP2_L4_BANDS_342.tif	Linear	None selected.	0 → CBERS4_PAN_RED, 1 → CBERS4_PAN_NIR, 2 → CBERS4_PAN_GREEN	vegetation → green color (point selection in tools and select a point in the image), shadow → yellow color, bare_soil → red color (or import t_mixturemode.json)	t_mixturemodel_linear.tif	Observe each output band individually, the brightest pixels in the bare_soil band will be related to pixels similar to bare soil, and so on for the other 2 classes.
CBERS_4_PAN10M_20161028_152_144_CROP2_L4_BANDS_342.tif	PCA	None selected.	0 → CBERS4_PAN_RED, 1 → CBERS4_PAN_NIR, 2 → CBERS4_PAN_GREEN	vegetation → green color (point selection in tools and select a point in the image), shadow → yellow color, bare_soil → red color (or import t_mixturemode.json)	t_mixturemodel_pca.tif	The same as previous (Linear type).

Color transform...

Select from dir 'rasters_t'				Results
Layer (…)	Type	Operation → Bands	Decompose Bands	Output name	Known issues
CBERS_4_PAN10M_20161028_152_144_CROP2_L4_BANDS_342.tif	RGB - IHS	Red (0), Green (1), Blue (2)	uncheck	t_colortransform_rgbihs.tif	Even with or without applying contrast, no result is shown (although reverse transform is now ok)
t_colortransform_rgbihs.tif	IHS - RGB	Intensity (0), Hue (1), Saturation (2)	uncheck	t_colortransform_ihsrgb.tif	-

Rasterization...

Select from dir 'rasters_t'					Results
Layer (…)	Feature	Precision	Res X	Res Y	Output name	Known issues
t_vectorization.shp (obtained from vectorization, which was obtained by segmentation)	FID	6	50	50	t_rasterization.tif	Output image with 225 columns and 151 lines. Some polygons were not rasterized in this resolution (and also with Res X = Res Y = 25).

Segmentation...

Select from dir 'rasters_t'						Results
Layer (…)	Type	Minimum size	Threshold	Other options	Bands	Advanced Options	Output name	Known issues
CBERS_4_PAN10M_20161028_152_114_CROP2_L4_BANDS_342.tif	Region Growing (mean)	100	0,030	none	0, 1, 2	Check block processing, and allow threads	t_segmentation_mean.tif	-
CBERS_4_PAN10M_20161028_152_114_CROP2_L4_BANDS_342.tif	Region Growing (Baatz)	100	0,030	color 0,90 and compacity 0,50	0, 1, 2 (0,333 for all weights)	Check block processing, and allow threads	t_segmentation_baatz.tif	-

Vectorization...

Select from dir 'rasters_t'			Results
Layer (…)	Parameters	Maximum geometries	Output name	Known issues
t_segmentation_mean.tif (obtained from segmentation test)	Band 0 (parameter Layer is useless here)	unchecked	t_vectorization.shp	Output shapefile with 271 geometries

Raster Slicing...

Select from dir 'rasters_t'		Slices				Results
Layer (…)	Band	Minimum	Maximum	Step	Precision	Output name	Known issues
CBERS_4_PAN10M_20161028_152_144_CROP2_L4_BANDS_342.tif	0	50	150	25	1	t_rasterslicing.tif	The 'slices Number' option does not reflect in the results, only in the Histogram (other tab). Option 'Equalize histogram' did not result in modifications on the output.

Contrast...

Select from dir 'rasters_t'				Results- Check report r_histogram.txt
Layer to select	Type	Histogram Area	Min/Max	Output name	Known issues
CBERS_4_PAN10M_20161028_152_144_CROP2_L4_BANDS_342.tif	Linear	Use All Image	Band 0 → 34, 174 (select values in histogram)	t_contrast_linear.tif	The resultant image get a reddish aspect (contrast was applied mainly in R band)
CBERS_4_PAN10M_20161028_152_144_CROP2_L4_BANDS_342.tif	Histogram Equalization	Use All Image	-	t_contrast_histogram_equalization.tif	The resultant image get a saturated aspect (contrast was applied automatically on the 3 bands)
CBERS_4_PAN10M_20161028_152_144_CROP2_L4_BANDS_342.tif	Square contrast	Use All Image	Band 1 → 65, 206 (select values in histogram)	t_contrast_square.tif	The resultant image get a greenish aspect (contrast was applied mainly in G band)
CBERS_4_PAN10M_20161028_152_144_CROP2_L4_BANDS_342.tif	Square root contrast	Use All Image	Use detected values	t_contrast_square_root.tif	The resultant image gets a foggy aspect.
CBERS_4_PAN10M_20161028_152_144_CROP2_L4_BANDS_342.tif	Log	Use All Image	Use detected values	t_contrast_log.tif	The resultant image gets a very foggy aspect, with good contrast in dark areas.
CBERS_4_PAN10M_20161028_152_144_CROP2_L4_BANDS_342.tif	Mean and Std	Use All Image	Band 0, 1, 2 → Mean (127), Std (50)	t_contrast_mean_std.tif	Result presents a saturated aspect.
LO82190762017351CUB00_B5_crop.tif	Linear	Use All Image	band 0	t_contrast_linear16bits.tif	Problem: Vertical scale differ from Layer RightMouse→Histogram
LO82190762017351CUB00_B5.tif	Linear	Use All Image	band 0	t_contrast_linear16bits_noDummyDefined.tif	Problem: No histogram. If dummy is defined to 0 - the graphic appear
CBERS_4_MUX_20150524_153_125_L4_BAND5.zip and band 6,7,8	Linear	Use All Image	band 5	t_contrast_mux.tif	Unsigned char →OK
CBERS_4_AWFI_20180102_173_123_L4_BAND13.zip and band 14,15,16	Linear	Use All Image	band 13	t_contrast_cbersawfi.tif	Problem: No histogram. To see graphic, use CTRL + SCROLL mouse to repositioning and SCROLL mouse to zoom

Classification...

Select from dir 'rasters_t'				Results
Layer (…)	Type	Bands	Parameters	Output name	Known issues
CBERS_4_PAN10M_20161028_152_144_CROP2_L4_BANDS_342.tif	ISOSeg	0, 1, 2	t_vectorization.shp (obtained from vectorization, which was obtained by segmentation), Threshold = 75%, Distance = Mahalanobis	t_classification_isoseg.tif
CBERS_4_PAN10M_20161028_152_144_CROP2_L4_BANDS_342.tif	K-Means	0, 1, 2	Number of clusters = 5, other parameters default	t_classification_kmeans.tif
CBERS_4_PAN10M_20161028_152_144_CROP2_L4_BANDS_342.tif	MAP	0, 1, 2	None	t_classification_map.tif	Import SHP with samples, t_rois.shp
CBERS_4_PAN10M_20161028_152_144_CROP2_L4_BANDS_342.tif	EM	0, 1, 2	Number of clusters = 5, other parameters default	t_classification_em.tif
CBERS_4_PAN10M_20161028_152_144_CROP2_L4_BANDS_342.tif	SAM	0, 1, 2	None	t_classification_sam.tif	Import SHP with samples, t_rois.shp
CBERS_4_PAN10M_20161028_152_144_CROP2_L4_BANDS_342.tif	ED	0, 1, 2	None	t_classification_ed.tif	Import SHP with samples, t_rois.shp, the validity of the result should be checked

Filter...

Select from dir 'rasters_t'				Results
Layer (…)	Type	Iterations	Output Bands	Known issues
CBERS_4_PAN10M_20161028_152_144_CROP2_L4_BANDS_342.tif	Sobel	2 (only to highlight the results)	0, 1, 2	Check Preview and draw ROI (don't need to save the results in this test case).
CBERS_4_PAN10M_20161028_152_144_CROP2_L4_BANDS_342.tif	Roberts	5 (only to highlight the results)	0, 1, 2	Check Preview and draw ROI (don't need to save the results in this test case).
CBERS_4_PAN10M_20161028_152_144_CROP2_L4_BANDS_342.tif	Mean	5 (only to highlight the results)	0, 1, 2	Check Preview and draw ROI (don't need to save the results in this test case). Blur effect in the preview.
CBERS_4_PAN10M_20161028_152_144_CROP2_L4_BANDS_342.tif	Mode	5 (only to highlight the results)	0, 1, 2	Check Preview and draw ROI (don't need to save the results in this test case). Crispy edges in the preview.
CBERS_4_PAN10M_20161028_152_144_CROP2_L4_BANDS_342.tif	Median	5 (only to highlight the results)	0, 1, 2	Check Preview and draw ROI (don't need to save the results in this test case). Blur effect, more controled then Mean filter.
CBERS_4_PAN10M_20161028_152_144_CROP2_L4_BANDS_342.tif	Dilation	5 (only to highlight the results)	0, 1, 2	Check Preview and draw ROI (don't need to save the results in this test case). Big and white edges.
CBERS_4_PAN10M_20161028_152_144_CROP2_L4_BANDS_342.tif	Erosion	5 (only to highlight the results)	0, 1, 2	Check Preview and draw ROI (don't need to save the results in this test case). Dark circles grow, and clear circles shrink.
CBERS_4_PAN10M_20161028_152_144_CROP2_L4_BANDS_342.tif	User defined	5 (only to highlight the results)	0, 1, 2	Check Preview and draw ROI (don't need to save the results in this test case). Use default values to get a equivalent result to Mean filter. Actual results are a white window.

Processing| Attribute Fill| Vector to Vector...

Check the presence and count how many points occur inside each cell. Check the output layer and the 2 new columns generated.

#Test	Select from dir 'shps'	Main Interface Options		Results - Check report r_attrfill_vp1_2017.txt
Verify?	Input Layers	Output name	Operations	Layer Explorer	[Save Project]
Test1	localidades_pt.shp & cells12x12_setor_censit.shp	t_af_vv_localid_cells12x12_Presence_TotnofValue	attr “localidade:Presence” & “localidade:Total number of values”	t_af_vv_localid_cells12x12_Presence_TotnofValue	p_attfill_vp1_2017test.tview
Test2	localidades_pt.shp & Setores_Censitarios_2000_pol.shp	t_af_vv_localid_SetCensit_Presence_TotnofValue	attr “localidade:Presence” & “localidade:Total number of values”	t_af_vv_localid_SetCensit_Presence_TotnofValue	p_attfill_vp1_2017test.tview

Processing| Attribute Fill | Vector to Vector...

#Test	Select from dir 'shps'	Main Interface Options		Results - Check report r_attrfill_vp2_2017.txt
Verify?	Input Layers	Output name	Operations	Layer Explorer	[Save Project]
Test1	cells6000x6000_setor_censit.shp & cells12x12_setor_censit.shp	t_af_vv_op6prim	attr “class” & the first 6 operations	t_af_vv_op6prim	p_attfill_vp2_2017test.tview
Test2	cells6000x6000_setor_censit.shp & cells12x12_setor_censit.shp	t_af_vv_op12	attr “class”:“Percentage of Tot Area”	t_af_vv_op12potarea	p_attfill_vp2_2017test.tview
Test3	cells6000x6000_setor_censit.shp & cells12x12_setor_censit.shp	t_af_vv_op7	attr “class”:“Total Not Null Values”	t_af_vv_op7p	p_attfill_vp2_2017test.tview
Test4	cells6000x6000_setor_censit.shp & cells12x12_setor_censit.shp	t_af_vv_op8	attr “class”:“Percentage of each Class by Area”	t_af_vv_op8	p_attfill_vp2_2017test.tview

Processing| Attribute Fill | Raster to Vector...

#Test	Select from dir 'shps' & 'rasters_t'		Main Interface Options		Results - Check report r_attrfill_rv1_2022.txt
Verify?	Input Layers	Only Selected	Bands/Statistics	Output name (…)	Layer Explorer	[Save Project]	Status
Test1	MDE_ESP_v2.tif & PalmsSP.shp		0 / Value	t_af_rv_value	t_af_rv_value	p_attrfill_rp1_2022.tview	OK
Test2	ESP.img & br_munic_2001.shp		0,1 / Min,Max,Mean	t_af_rv_3op	t_af_rv_3op	p_attrfill_rp1_2022.tview	OK
Test3	ESP.img & br_munic_2001.shp	Previous Selection of SP at br_munic2001 ON MAP Display	0,1 / Min,Max,Mean	t_af_rv_3op	t_af_rv_3op	p_attrfill_rp1_2022.tview	OK
Test4	ESP.img & onlySP.shp		0 / Min,Mean	t_af_rv_op2	t_af_rv_op2	p_attrfill_rp1_2022.tview	ok

Processing| Attribute Fill| Vector to Raster...

#Test	Select from dir 'shps'	Main Interface Options			Results - Check report r_attrfill_vr1_2017.txt
Verify?	Input Layer	Attribute	Raster Resolution X/Y	Output name	Layer Explorer	[Save Project]
Test1	cells12x12_setor_censit.shp	numeric attr	X=10; Y=10	t_af_vr_xxxx	t_af_vr_xxxx	p_attfil_vr1_2017test.tview

Processing| Vector Processing | Geometric Operations... (Convex Hull, Centroid, MBR, Area, Perimeter)|

#Test	Select from dir 'shps'	Main Interface Options			Results
Verify?	Input Layer	Output Attributes	Operations	Output Repository/Layer	Layer Explorer	[Save Project]
Test1	cells6000x6000_setor_censit.shp	Move all attr from left to right	Area , Perimeter	t_vp_geoOp_area_perim	t_vp_geoOp_area_perim⁶⁾	p_r_vp_geoOp2017.tview
Test2	setores_centitarios_2000_pol.shp	Move all attr from left to right	area, perim,Convex Hull, Centroid, Minimum Bounding Box	Output Repository/t_vp_geoOp	t_vp_geoOp_conver_hull, t_vp_geoOp_centroid, t_vp_geoOp__mbr ⁷⁾	p_r_vp_geoOp2017.tview

Processing| Vector Processing |

Polygon to Line...

Select from dir 'shps' & 'rasters_t'	Main Interface Options		Results
Input Layer	Only Selected	Output Repository/Layer	Layer Explorer	[Save Project]	Know Issues	Status
br_uf_2010.shp (AMAZONIA selected on Map Display)	Check	t_poly2line_only_amaz	t_poly2line_only_amaz	p_poly2line.tview	only Amz lines	OK
br_uf_2010.shp		t_poly2line_br_uf2010	t_poly2line_br_uf2010	p_poly2line.tview	Click over a line to select something	ok

Line to Polygon...

Select from dir 'shps'	Main Interface Options		Results
Input Layer	Only Selected	Output Repository/Layer	Layer Explorer	[Save Project]	Know Issues	Status
only_amz.shp or t_poly2line_only_amaz.shp		t_line2poly_amaz	t_line2poly_amaz	p_poly2line.tview		OK

Identity...

Select from dir 'shps'	Main Interface Options		Results
Input Layer/Intersection	Output Attributes	Output Repository/Layer	Layer Explorer	[Save Project]	Know Issues
br_uf_2010.shp & only_amaz.shp	Move all/some attr from left to right	t_identity1	t_identity1	p_identity.tview	All Brasil
only_amaz.shp & br_uf_2010.shp	Move all/some attr from left to right	t_identity2	t_identity2	p_identity.tview	Only Amz

Intersection...

Select from dir 'shps'				Main Interface Options		Results
Input Layer	Only Selected	Overlay Layer	Only Selected	Attribute Selection	Output Repository/Layer	Layer Explorer	[Save Project]	Know Issues
br_munic_2001.shp		onlySP.shp		Move all/some attr from left to right	t_inters1	t_inters1	p_inters.tview	Only SP
br_munic_2001.shp		onlySP.shp		Move all/some attr from left to right	t_inters1	t_inters1	p_inters.tview	Only SP

Layer Explorer| Right Button

Link... (over layers from PGIS public.pa_15dse250gc_s and public.basic_pa_conv_sendom)- Postgis user:amazon Host:goes.dpi.inpe.br Port:5432 Passw:****

Dataset 1 & Linked Column (select)	DataSet 2 & Linked Column (choose tabular file)	Output Linked layer	[Save Project]	Know Issues	Status
public.pa_15dse250gc_s & pa_15dse250gc_s.cd_geocodd	basic_pa_conv_sendom & cod_distrit	lk_pa_basic	p_link	The second layer must be tabular	OK
public.basic_pa_conv_sendom & cod_municipio	public.concentracao_cr2010 & geocodm	lk_tabular2	p_link	The first and second layers are tabular	OK
public.mapa_distritos_sp & mapal_deno	public.HOSPITAIS_SP & distrito	lk_tabular4	p_link	1:N - link works if DATASOURCE PGIS is used	OK

Link... (over layers stored in a Directory shp/link_table.zip )

mapa_distritos_sp & mapal_deno

HOSPITAIS & distrito

lk_tabular3

p_link

Both files should be at the same DIR, and a datasource should be defined before adding both files to TView. ⁸⁾. If 1:N link, it will be transformed in 1:1

Link... (over layer stored in a ACCESS datasource )

mapa_distritos_sp & mapal_deno

HOSPITAIS_SP & distrito

lk_tabular4

p_link

it is not working: ⁹⁾

error MSG

¹⁾ Example: Title/Description are optional; Server: localhost/goes.dpi.inpe.br, Port:5432, User: amazon, Password: xxxx, Database: mydatabase - goes.dpi.inpe.br@pratica_celulas@amazon or localhost@pratica_celulas@amazon

²⁾ Example: Title/Description are optional; Provider: Microsoft.ACE.OLEDB.12.0; File/URL: C:/data_TL/pratica_celulas.accdb

³⁾ Example: Title: TerraBrasilis_WCS; Description: TerraBrasilis Data for tests; Service: http://terrabrasilis.dpi.inpe.br/geoserver/ows

⁴⁾ Example: Title/Description are optional; http://www.geoservicos.ibge.gov.br:80/geoserver/wfs

⁵⁾ Example: Title/Description are optional; http://terrabrasilis.dpi.inpe.br/geoserver/ows

⁶⁾ , ⁷⁾ check the two new attr with area e perimeter

⁸⁾ define a Datasource as Directory; add From Datasource→Vector Files→ select DIR and add both files, otherwise - msg of error

⁹⁾ “No tabular data available to be linked in the selected Data Source.”

Table of Contents

Pre-Release Tests Guide

Plugins | Terralib4 Converter... |

Project | Add Layer

Tabular File...

Vector File...

Raster File...

Project | Add Layer | From Data Source... (Local Directory of Vector or Raster files)

Project | Add Layer | From Data Source... (From Microsoft Access or PostGIS)

Project | Add Layer | From Data Source... (WCS/WFS/WMS)

Project | Add Layer | Query Dataset...

Processing | Raster Processing

Mosaic...

Arithmetic Operations...

Clipping...

Compose/Decompose Bands...

Mixture Model...

Color transform...

Rasterization...

Segmentation...

Vectorization...

Raster Slicing...

Contrast...

Classification...

Filter...

Processing| Attribute Fill| Vector to Vector...

Processing| Attribute Fill | Vector to Vector...

Processing| Attribute Fill | Raster to Vector...

Processing| Attribute Fill| Vector to Raster...

Processing| Vector Processing | Geometric Operations... (Convex Hull, Centroid, MBR, Area, Perimeter)|

Processing| Vector Processing |

Polygon to Line...

Line to Polygon...

Identity...

Intersection...

Layer Explorer| Right Button

Link... (over layers from PGIS public.pa_15dse250gc_s and public.basic_pa_conv_sendom)- Postgis user:amazon Host:goes.dpi.inpe.br Port:5432 Passw:****

Link... (over layers stored in a Directory shp/link_table.zip )

Link... (over layer stored in a ACCESS datasource )