lb_titulo = Ecological niche
nicho_link = Go to community
btn_idioma = Language
a_espanol = Spanish
a_ingles = English
lb_especie = Taxa
esp_name = Species name
lb_example = Ex: Lynx rufus
lb_resumen = Summary
lb_restricciones = Restrictions
lb_construccion = In construction
lb_panel_region = Region
lb_seccion_region = 1. By state or eco-region
lb_estados = Load states
lb_params_variables = Parameters
lb_ecos = Load eco-regions
lb_seccion_tools = 2. By selection tool
lb_tools_ayuda = Use the tools that appear at the side of the map
lb_panel_variables = Variable group
a_taxon = Taxonomic
a_clima = Climatic
a_topo = Others
a_raster = Raster
a_socio = Socioeconomics
lb_occ = Species occurrences
lb_occ_celda = Cells with species occurrences 
btn_variable = Taxon
a_item_reino = Kingdom
a_item_phylum = Phylum
a_item_clase = Class
a_item_orden = Order
a_item_familia = Family
a_item_genero = Genus
a_item_especie = Species
btn_variable_bioclim = Weather
btn_variable_bioclim_time = Time
a_actual = Actual
a_f50 = 2050
get_esc_ep = Run Analysis
lb_resultados = Results
lb_des_modal_csv = The download by Excel is done through email, please give a valid address
send_email_csv = Send
cancel_email_csv = Cancel
lb_modal_shp = Download map in GEOJSON format
lb_des_modal_shp = Downloading the GEOJSON file is done through direct link, please clic the next link.
send_email_shp = Send
map_download = Download map 
sp_download = Download target species
cancel_email_shp = Cancel
lb_modal_csv = Download table in .csv format
lb_status_validacion_act = Validation process activated
lb_status_validacion_des = Validation process deactivated
lb_porcentaje_test = Training set: {0}% <br/>Test set: {1}%
lb_occ_cargado = You can review the species occurrences in the map below
lb_error_especie = Please choose a target species in the section Species
lb_error_variable = Please choose at least one group of variables in the section Variable Groups
lb_correo_enviado = File sent by email
lb_correo_error = Error in sending the email
lb_inicio_validacion = The validation process requires more time. Please wait a few minutes
lb_iteracion = Iteration {0}/{1} finished
lb_resultados_display = Table and histograms generated correctly
lb_error_proceso_val = There was an error in the validation process, please try again
lb_error_histograma = There was an error in the generation of the decile histogram, please try again
lb_inica_mapa = Generating map
lb_carga_mapa = Map generated correctly
lb_error_mapa = Error on generating the map, please try again
lb_inicia_histograma = Generating table and histograms
lb_carga_histograma = Table and histograms generated correctly
titulo_hist_eps = Epsilon species
titulo_hist_score = Score species
titulo_hist_score_celda = Cell score
titulo_hist_score_decil = Score decile
tip_tbl_titulo = Species scores
tip_tbl_esp = Species
tip_tbl_score = Score
tip_tbl_titulo_clima = Raster scores
tip_tbl_bioclim = Raster
lb_rango = Range
lb_frecuencia = Frequency
lb_score_conjunto = Total score
lb_conformado = Composed of
lb_grupo = Group
lb_xaxis_decil = Decile per group
lb_recall_avg = Avg recall
lb_vp_avg = Avg TP
lb_fn_avg = Avg FN
lb_recall = Recall
lb_nulos_avg = Avg Null
lb_vp = TP
lb_fn = FN
lb_nulos = Null
lb_decil = Decile
lb_epsilon = Epsilon
lb_procentaje_occ = Species percentage
lb_procentaje_occdecil = Decile percentage
lb_genero = Genus
lb_bioclim = Bioclim
lb_nij = nij
lb_nj = nj
lb_ni = ni
lb_n = n
lb_descarga_tbl = Download table
lb_borra_puntos = Delete invalid data
lb_malla = Net
lb_existente = Existing group
lb_titulo_net = Ecological community
net_link = Go to niche
lb_fuente = Source group
lb_sumidero = Target group
btn_topo = Topographic
a_item_topo00 = Topographic Index
a_item_topo01 = Digital elevation model
a_item_topo02 = Slope
lb_limpia_red = Limpia red
lb_fuente_tbl = Source node
lb_sumidero_tbl = Target node
lb_detener_net = Stop net
lb_centrar_net = Center net
lb_buscar_sp = Search species
lb_exportar_net = Export net
lb_variable_name = Name
lb_raster = Raster
lb_title_qs = What do you want to model?
a_modelo_nicho = Ecological niche modeling
a_modelo_comunidad = Ecological community modeling
link_sp = More info
lb_especie_tbl = Variable
lb_especie_tbl_eps = Species/Raster
lb_genero_tbl = Genus / Raster
lb_status_apriori_act = A priori process activated
lb_status_apriori_desc = A priori process deactivated
lb_validacion = Validation
labelFecha = {0} - {1}
val_actual = Now
lb_no = No
lb_si = Yes
tab_resumen = Summary
tab_variables = Parameters
tab_filtros = Filters
lb_mapa_res = Resolution
lb_region_filter = Region
lb_sp_list = Select your target group
generaRed = Generate Net
lb_do_apriori = Perform calculations a priori
lb_status_minocc_act = Minimum number of cells with occurrence for predicting species
lb_status_minocc_des = There is no minimum number of cells with occurrence for predicting species
lb_status_mapprob_act = Generate probability map
lb_status_mapprob_des = Generate map by score value
lb_sub_titulo = Ecological Data Exploration Platform of the C3 and CONABIO 
lb_title_index = Welcome to the Ecological Data Exploration Platform of the C3 and CONABIO 
lb_info_net = Keep the 'shift' key pressed to select more than one node 
lb_sin_filtros = Select a group of variables from each component  
lb_occ_min = Min. no. cells with presence (nj)
lb_fosil = Fossils
lb_apriori = Add the prior
lb_mapprob = Probability map
lb_reg_fecha = Data without date
lb_range_fecha = Filter by date
reload_map = Filter
see_species = See species
lb_genera_red = Generate network
lb_info_slider = ATR: Attraction between nodes
lb_info_slider_left = Expand
lb_info_slider_right =  Compact
lb_msg_title = Download network
lb_msg_envio = To download the network you need an email. Please provide a valid account. 
lb_msg_nij = Is the number of cells where there is a co-occurrence of the explanatory variable and the class variable
lb_msg_nj = Is the number of cells with at least one occurrence of the explanatory variable 
lb_msg_ni = Is the number of cells with at least one occurrence of the class variable 
lb_msg_n = Is the number of cells considered in the analysis. Each cell is 16 X 16 km 
lb_msg_epsilon = Epsilon quantifies whether or not there is evidence of spatial correlation between the explanatory variable and the objective variable (focal species). It is a hypothesis test where the null hypothesis is that the objective variable is distributed independently of the explanatory variable and the corresponding alternative hypothesis is that there is some dependence. The epsilon formula measures in standard deviation units how much and in what direction the frequency of presences of the target variable changes, only areas where the explanatory variable is present are considered:
lb_msg_score = It is the comparison between the proportion of X in the space of class C and the proportion of X in the space of the complement of class C. Thus, if the proportion of X in the space of C is larger than its complement , it can be understood that there is greater confidence to denote that X favors the space of C and vice versa. The formula is shown below (The value of alpha is 0.01 and natural logarithm is applied to the results):
lb_msg_hist_score = Shows the frequency by range where species occur by their score value 
lb_msg_hist_score_celda = Shows the frequency by range of cells by score 
lb_error_tblsp = Error on generating the epsilon table - score, try again
lb_nivel_reino = Queries at the Kingdom level are restricted, please choose another taxonomic level 
lb_nolinks = There exists no relation between the chosen groups 
lb_msg_source = Source variable name
lb_msg_target = Target variable name
lb_msg_hist_epsilon =Shows the frequency by range where species occur by epsilon
lb_title_link = Save the link to the results 
lb_msg_reino = Kingdom of the explanatory variable. Only applies when it is a taxonomic variable. 
lb_msg_phylum = Phylum of the explanatory variable. Only applies when it is a taxonomic variable. 
lb_msg_clase = Class of the explanatory variable. Only applies when it is a taxonomic variable. 
lb_msg_orden = Order of the explanatory variable. Only applies when it is a taxonomic variable. 
lb_msg_familia = Family of the explanatory variable. Only applies when it is a taxonomic variable. 
lb_msg_graf_decil = Gráfica de barras que resume la distribución de scores de celdas por decil de score y por grupo de variables. Esta gráfica agrupa las celdas por deciles de score, es decir, el decil 10 es el 10% de celdas con score más alto, mientras que el decil 1 es el grupo de celdas con score por debajo del 90%. Cada decil muestra la siguiente información: una barra de score promedio considerando cada grupo de variables independientemente y una barra considerando todos los grupos de variables. La gráfica es interactiva, si uno da click en una barra, entonces la tabla de abajo se actualiza con la información de las variables con presencia en el grupo de celdas que representa la barra.
lb_msg_decil = Decile where there is presence of the explanatory variables.
lb_msg_name= Name of the species or raster of the explanatory variable.
lb_msg_por_decil = Percentage of cells with the presence of the variable found in this decile.
lb_msg_por_occdecil = Percentage of decile cells with presence of the variable.
lb_status_fosil_act = Fossil records considered
lb_status_fosil_des = Fossil records discarded
lb_pp_rbio = Biotic Records
lb_pp_pos = Positive Records
lb_pp_rabio = Raster Records
lb_pp_neg = Negative Records
lb_pp_st = Total Score
lb_pp_sp = Partial Score
lb_pp_prob = probability
lb_pp_probpre = Probability of presence
lb_per_prob = Percentage probability
lb_gen_link = Generating results from link
lb_error_link = The requested regeneration link was not found
lb_cal_occ = Recalculating species occurrences
lb_occ_title_sp = Occurrence record
lb_occ_nombre = Name
lb_occ_colecta = Collection Date
lb_occ_coord = Coordinates
lb_index_hist_decil = Decile Histogram 
lb_index_hist_score = Score Histogram
lb_index_map_pres = Presence Map
lb_index_map_riq = Biological Wealth Map
lb_index_tbl_rel = Table of Biological Relations
lb_index_net = Net
label_esp_p1 = Ecological Niche
label_esp_p2 = Welcome to the Ecological Niche analysis section of SPECIES. Follow the steps to carry out an analysis. You can close the tutorial at any moment and start from where you left off. 
label_esp_p3 = Choose a species.
label_esp_p4 = Write the scientific name of the species to model. As you write the system will give options. Click on the name you\u2019re looking for when it appears.
label_esp_p54 = Region
label_esp_p55 = Choose the region that you\u2019ll use for your analysis.
label_esp_p5 = Grid resolution.
label_esp_p6 = Choose the grid resolution that you\u2019ll use for your analysis, the grid defines the spatial partition to define co-occurrences of variables.
label_esp_p7 = Filter by date.
label_esp_p8 = Use the slider to define the date range for the observations you want to include in your analysis.
label_esp_p9 = Include data that has no date.
label_esp_p10 = You can include data that has no associated observation date. The default is that they are included.
label_esp_p11 = Include fossil data.
label_esp_p12 = You can include fossil data for the chosen species. The default is that they are included. 
label_esp_p13 = Histogram of observations.
label_esp_p46 = This histogram shows the observation frequency by year. It updates when you use a date filter.
label_esp_p14 = Apply filters.
label_esp_p15 = Once you have defined the filters for your analysis press this button to apply them and you will see the resultant points on the map.
label_esp_p16 = Occurrence map.
label_esp_p17 = In this map you see the cells with observations for your analysis. Click on an cell to get the occurrences and its associated data.
label_esp_p18 = Variable group.
label_esp_p19 = The next step is to define covariates (niche predictors) that you will use in the model. Add one by one the chosen variable groups.
label_esp_p20 = Variable types.
label_esp_p21 = You can choose biotic and/or abiotic variables. Click on the corresponding tab of the variables you want to include.
label_esp_p22 = Taxonomia orden.
label_esp_p23 = For biotic variables choose the taxonomic level of the group of species you want to define and write the name of the taxon. For example, Class: Mammals.
label_esp_p24 = Taxonomic tree.
label_esp_p25 = Once the taxon is chosen the system shows the taxonomic subtree associated with the chosen taxon where you can choose species from the subgroup. 
label_esp_p26 = Add variable group.
label_esp_p27 = Once you have chosen a variable group you should add them by clicking on this button.
label_esp_p28 = Eliminate variable group. 
label_esp_p29 = Eliminate all added groups. 
label_esp_p30 = Variable groups. 
label_esp_p31 = Here you can see the variable groups you have added. Clicking on the name of a group shows its definition. 
label_esp_p32 = Parameters for niche analysis. 
label_esp_p33 = You can adjust some parameters during the niche analysis. We will describe them next. 
label_esp_p34 = Validation.
label_esp_p35 = Select this option to perform a 5-fold cross-validation. If you choose this option the system partitions the grid into 5 randomly chosen subsets and computes 5 models where each model is trained on 4 of the subsets and tested on the fifth where in each iteration the test set is distinct.
label_esp_p36 = Minimum number of occurrences. 
label_esp_p37 = Fixes the minimum number of cells that a covariate occupies to be included in the analysis.
label_esp_p38 = Calculate the prior probability. 
label_esp_p39 = Calculate the score of each cell considering apriori (ni/n-ni)
label_esp_p40 = Probability map. 
label_esp_p41 = Select this option so that instead of obtaining a map with the score distribution it shows the presence probability as calculated from the score. 
label_esp_p42 = Run the analysis. 
label_esp_p43 = Execute niche analysis with the chosen parameters. 
label_esp_p44 = Analysis URL. 
label_esp_p45 = Click here to generate a link that reproduces the configuration of the analysis you just carried out. This permits the configuration to be stored for future reference. 
label_esp_p48 = Cell score map
label_esp_p49 = Insert description here
btn_tuto_steps_result = Results
label_esp_p70 = Description results
label_esp_p71 = Then, an explanation of the corresponding results is displayed.
label_esp_p72 = Histograma de deciles
label_esp_p73 = En este histograma se despliega el promedio del score por celda divido por deciles. Cuando es ejecutado el proceso de validación se despliega el promedio de recall, vp y fn de las iteraciones realizadas en el proceso de validación cruzada.
label_esp_p74 = Tabla informativa de deciles
label_esp_p75 = En esta tabla se despliegan las especies que se encuentran en el decil que sea previamente seleccionado del histograma, mostrando epsilon y score por especie, porcentaje de la especie con respecto a su total de ocurrencias en el decil y el porcentaje de las ocurrencias de la especie en el decil. 
label_esp_p76 = Histogramas por especie y celda
label_esp_p77 = Estos histogramas despliegan la frecuencia de epsilon por especie, la frecuencia de score por especie y la frecuencia de score por celda. Los tres histogramas estan divididos en 20 rangos.
label_esp_p78 = Tabla informativa de epsilon y score por especie
label_esp_p79 = Esta tabla despliega la información relacionada al nicho y antinicho ecológico de la especie objetivo; mostrando epsilon y score de cada una de las especies.
label_com_p1 = Ecological Community
label_com_p2 = Welcome to the Ecological Community analysis section of SPECIES. Follow the steps to carry out an analysis. You can close the tutorial at any moment and start from where you left off. 
label_com_p3 = Grupo de Variables Fuente
label_com_p4 = Es este panel puedes seleccionar el grupo de variables fuente.
label_com_p5 = Grupo de Variables Destino
label_com_p6 = Es este panel puedes seleccionar el grupo de variables destino.
label_com_p7 = Tipo de Variables
label_com_p8 = Puedes escoger entre variables bi\u00f3ticas y abi\u00f3ticas para seleccionar el nicho.
label_com_p9 = Orden Taxon\u00f3mico
label_com_p10 = Para variables bi\u00f3ticas, primeramente debes elegir el nivel taxon\u00f3mico y escribir el tax\u00f3n.
label_com_p11 = \u00c1rbol taxon\u00f3mico
label_com_p12 = Puedes navegar en el \u00e1rbol desplegado aqu\u00ed y seleccionar los grupos deseados.
label_com_p13 = Agregar Grupos de Variables seleccionados
label_com_p14 = Una vez que seleccionas los grupos, puedes agregarlos dando clic en este bot\u00f3n.
label_com_p15 = Elimina Grupos de Variables seleccionados
label_com_p16 = Elimina los grupos seleccionados.
label_com_p17 = Grupos de Variables seleccionados
label_com_p18 = Aqui puedes ver los grupos de variables que has seleccionado.
label_com_p19 = Configura Variables Destino
label_com_p20 = Realiza ahora la selecci\u00f3n para el grupo de variables destino.
label_com_p21 = M\u00ednimo de ocurrencias (nj)
label_com_p22 = Establece el m\u00ednimo de ocurrencias que necesitan tener las especies de los grupos de variables seleccionados.
label_com_p22 = An\u00e1lisis de Cominidad
label_com_p23 = Ejecuta el an\u00e1lisis de comunidad con los par\u00e1metros seleccionados.
label_com_p24 = Regenera Resultados
label_com_p25 = Es visible una vez ejecutado el an\u00e1lisis. Genera un enlace para regenerar los resultados del an\u00e1lisis ejecutado.\<br><img style="width:100%" alt="Responsive image" src="images/img_gen_link.png">
label_esp_p50 = Clima tiempo
label_esp_p51 = Por defecto el tiempo de varaibles clim\u00e1ticas es el actual. Si gustas puedes hacer una proyecci\u00f3n del tiempo. (Temporalmente esta funcionalidad esta DESACTIVADA)
label_esp_p52 = Raster Variables
label_esp_p53 = Choose the following raster variables, they were processed to be used as covariates in your analysis.
hd_resumen = Summary
tlt_resumen = Summary
tuto_res = Results
label_esp_res_p1 = Resultados de Nicho Ecol\u00f3gico
label_esp_res_p2 = A continuaci\u00f3n se da una explicaci\u00f3n de los resultados obtenidos en el analisis de nicho ecol\u00f3gico.
label_esp_res_p3 = titulo mapa
label_esp_res_p4 = desc mapa
label_esp_res_p5 = titulo hist decil
label_esp_res_p6 = desc hist decil
label_esp_res_p7 = titulo tabla decil
label_esp_res_p8 = desc tabla decil
label_esp_res_p9 = titulo hist epsilon especie
label_esp_res_p10 = desc hist epsilon especie
label_esp_res_p11 = titulo hist score especie
label_esp_res_p12 = desc hist score especie
label_esp_res_p13 = titulo hist score celda
label_esp_res_p14 = desc hist score celda
label_esp_res_p15 = titulo tabla general
label_esp_res_p16 = desc tabla general
lb_modal_red = Download net in CSV format
lb_des_modal_red = Downloading the CSV file is done through direct link, please clic the next link.
red_download = Download net
cancel_red_csv = Cancel
label_next = Choose your variables
params_next = See map
map_next = See decile
hist_next = See table
btn_tutorial = Species
btn_tuto_steps = Tutorial
show_gen = Save analysis
lb_modal_login = Welcome
lb_des_modal_login = If you wish to receive notification of platform updates, enter your name, lastname and email.
send_email_login = Register
invalid_user = Invalid email or user. The user must contain at least a name and a last name.
general_error = Error, please try again or register later.
btn_redirect = Register later
footprint_region = Region
button_start = Start
button_next = Next
button_previous = Previous
button_restart = Restart
button_continue = Continue
button_end = End
url_image_link = _en
hist_occ_fecha = Date range
hist_occ_registros = Occurrences
lb_gen_values = It is necessary to regenerate the values
btnSchSp = Add
label_esp_p80 = Escoge la especie o grupo de especies
label_esp_p81 = Selecciona la especie o grupo de especies a modelar
sEmptyTable = No data available in table
info = Got a total of _TOTAL_ entries to show (_START_ to _END_)
search = Search: 
zeroRecords = No records to display
infoEmpty = No entries to show
infoFiltered = (filtering from _MAX_ records)
lb_range_fecha_hist = Show edges
lb_epsilon_hist_net = Show edges with epsilon
lb_epsilon_lizq_hist_net = less than
lb_epsilon_lder_hist_net = greater than
lb_arista_hist_net = Show the
lb_arista_lizq_hist_net = edges with lower epsilon
lb_arista_lder_hist_net = edges with greater epsilon
lb_parista_hist_net = Show the
lb_parista_lizq_hist_net = % of edges with lower epsilon
lb_parista_lder_hist_net = % of edges with greater epsilon
lb_hist_net_nosginificativo = Non-significant records
lb_hist_net_visualizados = Visualized
lb_hist_net_descartados = Discarded
AnnualMeanTemperature = Annual Mean Temperature
MeanDiurnalRangeMeanofmonthlymaxtempmintemp = Mean Diurnal Range (Mean of monthly (max temp - min temp))
IsothermalityBIO2BIO7100 = Isothermality (BIO2/BIO7) (* 100)
TemperatureSeasonalitystandarddeviation100 = Temperature Seasonality (standard deviation *100)
MaxTemperatureofWarmestMonth = Max Temperature of Warmest Month
MinTemperatureofColdestMonth = Min Temperature of Coldest Month
TemperatureAnnualRangeBIO5BIO6 = Temperature Annual Range (BIO5-BIO6)
MeanTemperatureofWettestQuarter = Mean Temperature of Wettest Quarter
MeanTemperatureofDriestQuarter = Mean Temperature of Driest Quarter
MeanTemperatureofWarmestQuarter = Mean Temperature of Warmest Quarter
MeanTemperatureofColdestQuarter = Mean Temperature of Coldest Quarter
AnnualPrecipitation = Annual Precipitation
PrecipitationofWettestMonth = Precipitation of Wettest Month
PrecipitationofDriestMonth = Precipitation of Driest Month
PrecipitationSeasonalityCoefficientofVariation = Precipitation Seasonality (Coefficient of Variation)
PrecipitationofWettestQuarter = Precipitation of Wettest Quarter
PrecipitationofDriestQuarter = Precipitation of Driest Quarter
PrecipitationofWarmestQuarter = Precipitation of Warmest Quarter
PrecipitationofColdestQuarter = Precipitation of Coldest Quarter
AnnualPotentialEvapotranspirationmmyear = Annual Potential Evapotranspiration (mm/year)
ThornthwaiteAridityIndex = Thornthwaite Aridity Index
MetricofRelativeAetnessandAridity = Metric of Relative Aetness and Aridity
AverageTempofWarmestMonthC = Average Temp. of Warmest Month (C)
EmbergersPluviothermicQuotient = Emberger s Pluviothermic Quotient
SumofMeanMonthlyTemperatureforMonthswithMeanTemperatureGreaterthan0CMultipliedbyNumberofDays = Sum of Mean Monthly Temperature for Months with Mean Temperature Greater than 0C Multiplied by Number of Days
SumofMeanMonthlyTemperatureforMonthswithMeanTemperatureGreaterthan5CMultipliedbyNumberofDays = Sum of Mean Monthly Temperature for Months with Mean Temperature Greater than 5C Multiplied by Number of Days
MaxTempoftheColdestMonthC10 = Max. Temp. of the Coldest Month (C * 10)
MinTempoftheWarmestMonthC10 = Min. Temp. of the Warmest Month (C * 10)
CountoftheNumberofMonthswithMeanTempGreaterthan10Cmonths = Count of the Number of Months with Mean Temp Greater than 10C (months)
MeanMonthlyPETofColdestQuartermmmonth = Mean Monthly PET of Coldest Quarter (mm/month)
MeanMonthlyPETofDriestQuartermmmonth = Mean Monthly PET of Driest Quarter (mm/month)
MonthlyVariabilityinPotentialEvapotranspirationmmmonth = Monthly Variability in Potential Evapotranspiration (mm/month)
MeanMonthlyPETofWarmestQuartermmmonth = Mean Monthly PET of Warmest Quarter (mm/month)
MeanMonthlyPETofWettestQuartermmmonth = Mean Monthly PET of Wettest Quarter (mm/month)
CompensatedThermicityIndexC = Compensated Thermicity Index (C)
TerrainRoughnessIndex = Terrain Roughness Index
SAGAGISTopographicWetnessIndex = SAGA-GIS Topographic Wetness Index
MaximumSlopeinElevations = Maximum Slope in Elevations
Aspect = Aspect
CompoundTopographicIndexCTIlnFAtanslope = Compound Topographic Index CTI = ln ( FA / tan (slope) )
FlowDirection = Flow Direction
FlowAccumulations = Flow Accumulations
DigitalelevationmodelGTOPO30 = Digital elevation model GTOPO30
num_records = Number of occurrences
score_celda = Score by cell
no_decilgrupo = No groups or deciles selected
tip_grupodecil = <strong>{0}</strong><br/>Select <strong>deciles and groups</strong>,<br/>then click <strong>See on map</strong><br/>to view them on the map
tip_grupodecil_2 = <strong>Decile {0}</strong><br/>Select <strong>deciles and groups</strong>,<br/>then click <strong>See on map</strong><br/>to view them on the map
btn_decil = See on map



caso_uso = Use Case
demo_intro = This demo is generated to carry out a <b>use case</b>. We will find the ecological niche of the <b>{0}</b> within the group of <b>{1}</b>. <br/> <br/> <b>Please, carry out the activities requested in each step.</b> <br/><br/>If the demo closes during your progress, just click on the Use Case button again and click continue.

demo_intro_region = We will select <b>Mexico</b> as region, this will narrow our analysis only in this geographical area.

demo_intro_resolucion = SPECIES works with different resolutions to define co-occurrences, in this case we will use the resolution of <b>16km</b>.

demo_title_specie = Select the target species
demo_intro_specie = SPECIES works with scientific names, therefore, the scientific name of the Red Lynx is <b>Lynx rufus</b>. <br/><br/>Please, select as taxonomic level <b>Species</b> and then start typing <b>'Lynx rufus'</b>. <br/><br/>The search engine will display the species found in the database, select as soon as the <b>Lynx rufus<b> option is visible.

demo_title_tree = Taxonomic Tree
demo_intro_tree = Once the species is selected, a taxonomic tree will be deployed. <b>Check the box</b>.

demo_title_addsp = Add the target species
demo_intro_addsp = Click on the <b>plus icon</b> button in order to add our target species in the analysis.


demo_title_rfecha = Date Range
demo_intro_rfecha = This parameter helps us <b>limit the occurrences of our target species by date</b>. <br/><br/>We will leave this parameter without alterations to obtain all the occurrences of the <b>Red Lynx</b>.

demo_title_sfecha = Undated Records
demo_intro_sfecha = SPECIES has records of undated species. You can <b>include or exclude them</b> from your analysis. <br/><br/><b>We recommend leaving it active for this exercise</b>.

demo_title_fosil = Fossil Records
demo_intro_fosil = Fossil records also exist in SPECIES. Similarly, you can <b>include or exclude them</b> from your analysis. <br/><br/><b>We recommend leaving it active for this exercise</b>.

demo_title_ressp = View records
demo_intro_ressp = Click on this button to visualize on the map the occurrences that we have just configured.

demo_title_mapaocc = Occurrence Map
demo_intro_mapaocc = In this map, the <b>occurrences of the Red Lynx</b> are observed. <br/><br/>The map is divided into cells with the resolution set. Therefore, we will observe <b>active cells of 16km x 16km</b> where there is <b>at least one</b> presence of the Lynx.

demo_title_mapacell = Active cells
demo_intro_mapacell = You can zoom and click on the active cells to know the <b>detail of the records found</b>.

demo_title_celldel = Skip cells
demo_intro_celldel = If you wish to delete any occurrence of your analysis, you can click on the <b>draft</b> button and select the <b>cells you wish to discard</b>. <br/><br/>For this exercise <b>we recommend not doing it</b>.

demo_title_covars = Variables Group
demo_intro_covars = In this section we will configure the groups of species that we would like to relate to our target species.

demo_title_navs = Types of variables
demo_intro_navs = We can add groups of biotic (Taxonomic) and abiotic (Raster) species in our niche analysis. <br/><br/>For this use case, we will select only <b>biotic (Taxonomic) variables</b>.

demo_title_groups = Biotic Variables
demo_intro_groups = For this exercise, we will select <b>Class</b> as a taxonomic level, write and select <b>Mammalia</b>.

demo_intro_tree = Please, select the <b>Mammalia</b> box to include all mammals in the analysis.


demo_title_analisis = Parameters for niche analysis
demo_intro_analisis = Here you can adjust some parameters in the niche analysis process.


demo_title_val = Validation
demo_intro_val = You can activate this option to perform a validation process of the results obtained. <br/><br/>In this use case <b>we will not activate this functionality</b>.


demo_title_min = Minimum of occurrences (nj)
demo_intro_min = It establishes the minimum number of cells that the group of species should occupy to be included in the analysis. <br/><br/>For this use case,<b> we will leave the default value</b>.


demo_title_apri  = Perform calculations a priori
demo_intro_apri = Here you can activate the score calculation of each cell considering the a priori value (ni / n-ni). <br/><br/>For this use case, <b>we will not activate it</b>.


demo_title_prob = Probability Map
demo_intro_prob = Here you can enable this option to display a probability of presence map. <br/><br/>Similarly, for this use case, <b>we will not activate it</b>.


demo_title_btnres = Run analysis
demo_intro_btnres = This is the basic configuration to run the analysis. <b>Click on this button</b> and wait a moment to see the results.


demo_title_mapres = Result 1. Niche Map
demo_intro_mapres = In this map you can see the relationship between the target species, in this case, the <b>Red Lynx</b> with the <b>Mammals</b>.


demo_title_mapresa = Predilection of the species
demo_intro_mapresa = In <b>red colors</b> you can see where the <b>Lynx</b> is most preferred for living based on the <b>Mammals</b>. <br/><br/><b>In intense colors the species has a greater predilection</b>.


demo_title_mapresb = Denial of the species
demo_intro_mapresb = In <b>blue colors</b> you can see that there is a <b>negative interaction</b> based on the <b>Mammals</b>, that is, there are species with which it shares no interest in coexisting. <br/><br/><b>In intense colors the species has less predilection</b>.


